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2014
9
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Two Efficient Approaches Based on Radial Basis Functions to Nonlinear Time-dependent Partial Differential Equations
Two Efficient Approaches Based on Radial Basis Functions to Nonlinear Time-dependent Partial Differential Equations
en
en
In this paper, two numerical meshless approaches, based on radial basis functions (RBFs) are
applied to solve nonlinear time-dependent partial differential equations. Both of these approaches are
based on Kansa meshless method. In these procedures the time is descritized to small time steps, the
space is also descritized in each sub-domain. Then by the Kansa collocation method, by using RBFs,
the approximate solution, in each step, is obtained. In the first approach, the nonlinear terms are
eliminated, by linearization. In the second approach nonlinear equations are solved directly, by Fix
point method. Four examples are provided to illustrate the efficiency and the reliability of these
approaches. The results are also compared with each other.
1
11
Jafar
Biazar
Mohammad
Hosami
Meshless Methods
Radial Basis functions
Time-dependent nonlinear partial differential equations
Article.1.pdf
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[1]
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M. J. D. Powell , The theory of radial basis function approximation in 1990, Oxford, Clarendon (1992)
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M. Dehghan, A. Shokri , Numerical solution of the nonlinear Klein–Gordon equation using radial basis functions, J. Comput. Appl. Math. , 230 (2009), 400-410
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A. Alipanah, M. Dehghan , Numerical solution of the nonlinear Fredholm integral equations by positive definite functions, Appl. Math. Comput. , 190 (2007), 1754-1761
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S. Sarra , Adaptive radial basis function method for time dependent partial differential equations , Appl Numer Math , 54 (2005), 79-94
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M. Mai-Duy, T. Tran-Cong , An integrated-RBF technique based on Galerkin formulation for elliptic differential equations, Eng. Anal. Bound. Elem. , 33 (2009), 191-199
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]
Multi-hop Fuzzy Routing for Wireless Sensor Network with Mobile Sink
Multi-hop Fuzzy Routing for Wireless Sensor Network with Mobile Sink
en
en
Using clustering methods in sensor networks improves their efficiency and management. Moreover, it
brings with it the main parameter in sensor networks i.e. decrease in energy consumption. To transfer data
to a sink in a network having many nodes, multi-hop methods have to be used. Also in many of the cases,
there is a mobile sink (or user) in a network environment. In this paper, using fuzzy logic we present a
routing method which divides the network into groups which are like clusters and has the ability of
supporting the mobile sink. This routing method has been compared with other routing and clustering
methods and the results show the efficiency of the mentioned method.
12
24
Mohsen
Nejadkheirallah
Mohammad Mahdi
tajari
Reza
Sookhtsaraei
Ali
Yousefzadeh
wireless sensor network
multi-hop routing
fuzzy logic
mobile sink
multi-sink.
Article.2.pdf
[
[1]
S.-C. Liu, A lifetime-extending deployment strategy for multi-hop wireless sensor networks, in Proc. CNSR, (2006), 53-60
##[2]
, Wireless Sensor Network Designs, Hoboken, NJ: Wiley (2003)
##[3]
T. S. Chen, C. Y. Chang, J. P. Sheu, Efficient path based multicast in wormhole-routed mesh networks, J. Syst. Archit., 46 (2000), 919-930
##[4]
M. Younis, P. Munshi, G. Gupta, S. M. Elsharkawy, On Efficient Clustering of Wireless Sensor Networks, Second IEEE Workshop on Dependability and Security in Sensor Networks and Systems, (2006), 78-91
##[5]
W. R. Heizelman, A. Chandrakasan, H. Balakrishnan, Energy-Efficient Communication Protocol for Wireless Micro Sensor Networks, IEEE Proceedings of the Hawaii International Conference on System Sciences, (2000)
##[6]
M. Chatterjee, S. K. Das, D. Turgut, WCA: a Weighted Clustering Algorithm for mobile Ad Hoc networks, Journal of Cluster Computing (Special Issue on Mobile Ad hoc Networks), 5 (2002), 1-193204
##[7]
A. G. Delavar, J. Artin, M. M. Tajari, RCSDN : a Distributed Balanced Routing Algorithm with Optimized Cluster Distribution, IN 3rd International Conference on Signal Acquisition and Processing (ICSAP 2011). , (2011)
##[8]
I. Gupta, D. Riordan, S. Sampalli, Cluster-head election using fuzzy logic for wireless sensor networks, in Communication Networks and Services Research Conference, 2005. Proceedings of the 3rd Annual, (2005), 255-260
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J. Kim, S. Park, Y. Han, T. Chung, CHEF: cluster head election mechanism using fuzzy logic in wireless sensor networks, in Proceedings of the ICACT, (2008), 654-65
##[10]
O. Younis, S. Fahmy, Distributed Clustering in Ad Hoc Sensor Networks: A Hybrid, Energy-Efficient Approach, Proc. IEEE INFOCOM, Hong Kong, Mar. 2004; an extended version appeared in IEEE Trans. Mobile Comp., 3 (2004), 366-79
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C. Intanagonwiwat, R. Govindan, D. Estrin, Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks, Proc. ACM MobiCom , (2000), 56-67
##[12]
M. Chen, T. Kwon, Y. Choi, Energy-Efficient Differentiated Directed Diffusion (EDDD) in Wireless Sensor Networks, Computer Comm., 29 (2006), 231-245
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F. Ye, H. Luo, J. Cheng, S. Lu, L. Zhang, A Two-Tier Data Dissemination Model for Large-Scale Wireless Sensor Networks, Proc. ACM MobiCom ’02, (2002)
##[14]
B. Zhang, H. Mouftah, Energy-Aware on-Demand Routing Protocols for Wireless Ad Hoc Networks, Wireless Networks, 12 (2006), 481-494
##[15]
Z. Liu, D. Xiu, W. Guo, An Energy-Balanced Model for Data Transmission in Sensor Networks, Proc. 62nd IEEE Vehicular Technology Conf., (VTC-Fall) (2005)
##[16]
A. Boukerche, I. Chatzigiannakis, S. Nikoletseas, A New Energy Efficient and Fault-Tolerant Protocol for Data Propagation in Smart Dust Networks Using Varying Transmission Range, Computer Comm., 29 (2006), 477-489
##[17]
I. Haque, C. Assi, OLEAR: Optimal Localized Energy Aware Routing in Mobile Ad Hoc Networks, Proc. IEEE Int’l Conf. Comm. (ICC ’06), (2006), 3548-3553
##[18]
S. Wu, K. Candan, Power-Aware Single- and Multipath Geographic Routing in Sensor Networks, Ad Hoc Networks, 5 (2007), 974-997
##[19]
N. Wang, C. Chang, Probabilistic-Based Energy Aware Routing for Network Lifetime and Source Level Fairness in Wireless Sensor Networks, Proc. Int’l Conf. Systems and Networks Comm., (ICSNC) (2006)
]
Fuzzy Prime and Anti Fuzzy Prime Implicative Filters of Lattice Wajsberg Algebras
Fuzzy Prime and Anti Fuzzy Prime Implicative Filters of Lattice Wajsberg Algebras
en
en
In this paper, we introduce the concepts of a fuzzy prime and an anti fuzzy prime implicative filter of lattice W- algebras and discuss some of their properties.
25
32
B. A.
Mohideen
A.
Ibrahim
Wajsberg algebras
Implicative filters
Prime implicative filters
Fuzzy prime implicative filters
Anti fuzzy prime filters
Article.3.pdf
[
[1]
M. Basheer Ahamed, A. Ibrahim, Fuzzy implicative filters of lattice Wajsberg Algebras, Advances in Fuzzy Mathematics, 6 (2) (2011), 235-243
##[2]
M. Basheer Ahamed, A. Ibrahim, Anti fuzzy implicative filters in lattice W-algebras, International journal of Computational Science and Mathematics, 4 (1) (2012), 49-56
##[3]
J. M. Font, A. J. Rodriguez, A. Torrens, Wajsberg Algebras, STOCHASTICA , VIII (1984), 5-31
##[4]
Eshagh Hosseinpour, T-Rough Fuzzy Subgroups of Groups, Journal of Mathematics and Computer Science , 12 (2014), 186-195
##[5]
Y. Imai, K. Iseki , On axiom systems of propositional calculi, Proc. Japan Academy, 42 (1966), 19-22
##[6]
A. Rose, J. B. Rosser, Fragments of many-valued statement calculi, Transactions of the American Mathematical Society , 87 (1953), 1-53
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O. G. Xi, Fuzzy BCK-algebras, Math. Japon. , 36 (1991), 935-942
##[8]
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]
The Impact of Service Quality on Customer Satisfaction in Internet Banking
The Impact of Service Quality on Customer Satisfaction in Internet Banking
en
en
This paper presents a study to investigate service quality indexes in Internet Banking. This is an applied research study of descriptive-surveying kind .The purpose of this research is to understand the impact of service quality factors of Internet Banking on customer satisfaction in Iran .To study the relation between service quality and customer satisfaction, first a hybrid model based on the previous works has been proposed. Six service quality dimensions namely reliability, efficiency, responsiveness, fulfillment, security / privacy and website design have been established based on the literature review. The data were gathered through survey interview by a questionnaire that was designed on a 5-Point Likert scale .This study evaluated influence of service quality on customer satisfaction in Internet Banking .The study shows that the Six service quality dimensions has meaningful relationship with customer satisfaction in Internet Banking and reliability has most relation and website design has least relation to customer satisfaction.
33
40
S. Fatemeh
Sakhaei
Ahmad J.
Afshari
Ezzatollah
Esmaili
Internet Banking
Electronic Service Quality
Customer Satisfaction.
Article.4.pdf
[
[1]
E. M. Awad, The Structure of E-commerce in the Banking industry: An Empirical Investigation, SIGCPR2000 Evanston Illinois USA. , ()
##[2]
M. M. Anuar, F. Adam, Z. Mohammad, Muslim consumers’ perception on Internet Banking services, International Journal of Business and social Science, 3 (2012), 63-71
##[3]
M. Fasanghari, F. Roudsari H., the Fuzzy Evaluation of E-Commerce Customer Satisfaction, World Applied Science Journal, 4(2) (2008), 164-168
##[4]
R. A. Gbadeyan, O. O. Akinyosoye-Gbonda, Customers’ Preference For E-Banking Services: A Case study of Selected Banks in Sierra Leone, Australian Journal of Business and Management Research, 1 (2011), 108-116
##[5]
M. Jayanthy, R. Umarani , Customers’ perception and satisfaction towards internet banking services, International Journal of Multidisciplinary Research , Vol. 2,No. 8,ISSN 2231 5780. (2012)
##[6]
V. M. Kumbhar , Factors affecting the customer satisfaction in e-banking: some evidences from Indian banks, Management research and practice, 3(4) (2011), 1-14
##[7]
C. C. Lin, A critical appraisal of customer satisfaction and e-Commerce, Managerial Auditing Journal, Vol.18, No. 3 (2003)
##[8]
C. Liu, K. P. Arnett, Exploring in the Factors Associated with Web Site Success in the Context of Electronic Commerce, Information and Management , 38(1) (2000), 23-34
##[9]
E. Lociacono, R. T. Watson, D. Goodhue, WebQual ™: A web site Quality Instrument, Working Paper, Worcester Polytechnic Institute (2000)
##[10]
R. Mekovec, K. Kero, E-Service quality: a case study of Varazdin County, 26th International Conference on Organizational Science Development CREATIVE ORGANIZATION, March 28-30, Protozoa, Slovenia (2007)
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A. Musiime, R. Malinga, Internet banking, Consumer adoption and Customer satisfaction, African Journal of Marketing Management, 3 (2011), 261-269
##[12]
M. P. Neghab, S. M. Heravi, M. Kahani, Simulation and Optimization of Affective Causes on Quality of Electronic Services, Journal of Mathematics and Computer Science, 7 (2013), 23-32
##[13]
J. M. Nupur, E-Banking and Customer Satisfaction in Bangladesh: An Analysis, International Review of Business Research Papers, 6 (2010), 145-156
##[14]
B. Saeidipour , T. Vatandost, P. Akbari , Study the Effect of Development of Electronic Banking on Customer Satisfaction Levels by Using Kano Model (Case study : Refah Bank of Kermanshah, Iran), International Research Journal of Applied and Basic Sciences, 3 (2012), 950-960
##[15]
P. Saha, Y. Zhao, Relationship between online Service Quality and Customer Satisfaction, Lule University of Technology MSc Program me in Electronic Commerce , (2005)
##[16]
A. Timothy, Electronic Banking Services and Customer Satisfaction in the Nigerian Banking Industry, International Journal of Business and Management Tomorrow, 2 (2012), 1-8
##[17]
N. M. Toosi, R. A. Kohanali, The study of airline service quality in the Qeshm free Zone by fuzzy logic, Journal of Mathematics and Computer Science, 2(1) (2011), 171-183
##[18]
H. W. Webb, L. Webb, Site Qual: An Integrated Measure of Website Quality, the Journal of Enterprise Information Management, 17 (2004), 430-440
##[19]
M. F. Wolfinberger, M. C. Gilly, Q :Dimensional zing, measuring and Predicting Quality of the E-tail Experience, Working Paper No.02-100.Marketing Science Institute, Cambridge, MA (2002)
##[20]
M. F. Wolfinberger, M. C. Gilly, e Tail Q: Dimensional zing, measuring and predicting e Tail Quality, Journal of retailing, 79 (2003), 183-198
##[21]
A. Zeithaml Valarie, A. Parasuraman, A. Malhotra, A Conceptual Framework for Understanding e-Service Quality: Implications for Future Research and Managerial practice, Working Paper, Cambridge M.A, Marketing Science Institute, Report Number 00-115 (2000)
##[22]
A. Zeithaml Valarie, A. Parasuraman, A. Malhotra, Service Quality Delivery Through Web Sites :A Critical Review of Extant Knowledge, Journal of the Academy of Marketing Science, 30 (2002), 358-371
]
Using Monte Carlo Method for Simulation of Electromagnetic Radiation Penetration in Bodys Tissues
Using Monte Carlo Method for Simulation of Electromagnetic Radiation Penetration in Bodys Tissues
en
en
According to the physical nature of the penetration of electromagnetic radiation, in different body's
tissues, this process can be simulated with using Monte-Carlo (based on random number generation)
methods. In this study penetration of ray in the muscle and bony tissues is simulated. With using
Fortran90 code, the penetration of electromagnetic ray in the cube target was simulated. The curve of ray
penetration in the muscle and bony tissues, for different ray energies (40, 60, 200, 500 KeV) is obtained.
So change the output ray intensity is calculated per number of different primary rays. This calculation
compared with experimental calculations in water, with comparing the results of code, that written by
authors and experimental results, the results show good agreement with each other.
41
45
S. A.
Mahdipour
H. R. Abdi
Roknabadi
F.
Ghalenovi
H. Akbari
Motlagh
Monte Carlo
radiation
penetration.
Article.5.pdf
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[1]
R. James, H. Connolly , , Spring, EPS400 002 (2012)
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J. Anthony Seibert, M. John , , J. Nucl. Med. Technol , 33 1. (2005 )
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]
A Model for Selecting an Erp System with Triangular Fuzzy Numbers and Mamdani Inference
A Model for Selecting an Erp System with Triangular Fuzzy Numbers and Mamdani Inference
en
en
The enterprise resource planning (ERP) is an integrated set of programs that provide support for core business processes, such as production, input and output logistics, finance and accounting, sales and marketing and resource. It is important to select an ERP that adapt with organization requirements. This paper presents a method for selecting a suitable ERP system based on fuzzy logic. This model has 3 inputs: functionality, cost and vendor support. These inputs are criteria for selecting suitable ERP for organization. We use triangular fuzzy membership function for each criterion and develop a Mamdani inference system.
46
54
J.
Vahidi
D. Darvishi
Salookolayi
A.
Yavari
Enterprise Resource Planning Selection
Criteria
Fuzzy logic
Triangular Fuzzy Membership Function
Article.6.pdf
[
[1]
Adel M. Aladwani, Change management strategies for successful ERP implementation, Business Process management journal , 7.3 (2001), 266-275
##[2]
Benson Wier, Hunton James, Hassan R. Hassab Elnaby , Enterprise resource planning systems and non-financial performance incentives: The joint impact on corporate performance, International Journal of Accounting Information Systems , 8.3 (2007), 165-190
##[3]
Juha-Pekka Kallunki, Erkki K. Laitinen, Hanna Silvola, Impact of enterprise resource planning systems on management control systems and firm performance, International Journal of Accounting Information Systems , 12.1 (2011), 20-39
##[4]
Edward Bernroider, Stefan Koch, ERP selection process in midsize and large organizations, Business Process Management Journal , 7.3 (2001), 251-257
##[5]
Harun Resit Yazgan, Semra Boran, Kerim Goztepe, An ERP software selection process with using artificial neural network based on analytic network process approach, Expert Systems with Applications, 36.5 (2009), 9214-9222
##[6]
M. Falkenstein, et al. , Effects of crossmodal divided attention on late ERP components. II. Error processing in choice reaction tasks, Electroencephalography and clinical neurophysiology , 78.6 (1991), 447-455
##[7]
Aman Deep, et al., Investigating factors affecting ERP selection in made-to-order SME sector, Journal of Manufacturing Technology Management , 19.4 (2008), 430-446
##[8]
Young B. Moon, Enterprise resource planning (ERP): a review of the literature, International Journal of Management and Enterprise Development , 4.3 (2007), 235-264
##[9]
Ashim Raj. Singla, Enterprise resource planning systems implementation: a literature analysis, International Journal of Business and Systems Research , 3.2 (2009), 170-185
##[10]
Majed Al-Mashari, Abdullah Al-Mudimigh, Mohamed Zairi, Enterprise resource planning: a taxonomy of critical factors, European journal of operational research , 146.2 (2003), 352-364
##[11]
Mark Keil, Amrit Tiwana, Relative importance of evaluation criteria for enterprise systems: a conjoint study, Information Systems Journal , 16.3 (2006), 237-262
##[12]
Vinod Kumar, B. Maheshwari, U. Kumar, Enterprise resource planning systems adoption process: a survey of Canadian organizations, International Journal of Production Research, 40.3 (2002), 509-523
##[13]
Vinod Kumar, Bharat Maheshwari, Uma Kumar, An investigation of critical management issues in ERP implementation: emperical evidence from Canadian organizations, Technovation , 23.10 (2003), 793-807
##[14]
Chun-Chin Wei, Chen-Fu Chien, Mao-Jiun J. Wang, An AHP-based approach to ERP system selection, International journal of production economics , 96.1 (2005), 47-62
##[15]
Z. Ayağ, R. G. Özdemir, An intelligent approach to ERP software selection through fuzzy ANP, International Journal of Production Research , 45.10 (2007), 2169-2194
##[16]
Salvador Bueno, Jose L. Salmeron, Fuzzy modeling enterprise resource planning tool selection, Computer Standards & Interfaces , 30.3 (2008), 137-147
##[17]
Ying-Ming Wang, Kwai-Sang Chin, A new approach for the selection of advanced manufacturing technologies: DEA with double frontiers, International Journal of Production Research , 47.23 (2009), 6663-6679
##[18]
Xiuwu Liao, Li Yuan, Bing Lu, A model for selecting an ERP system based on linguistic information processing, Information Systems, 32.7 (2007), 1005-1017
##[19]
Ufuk Cebeci, Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard, Expert Systems with Applications , 36.5 (2009), 8900-8909
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]
Obtain Multiplicative Resupinate Eigenvalue with Use Hermitian Matrices
Obtain Multiplicative Resupinate Eigenvalue with Use Hermitian Matrices
en
en
Benefiting from Schur theorem and temple's theories, we exposure new enough conditions for obtaining
multiplicative resupinate eigenvalue with use Hermitian matrices.
55
68
Hooman
Fathaliani
Schur theorem
temple's theories
multiplicative resupinate eigenvalue
Hermitian matrices.
Article.7.pdf
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[1]
K. P. Hadeler, Multiplikative inverse Eigenwertprobleme, Linear Algebra Appl., 2 (1969), 65-86
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K. P. Hedeler, Existenz- und Eindeutigkeitssatze fur inverse Eigenwertaufgaben mit Hilfe des topologischen Abbildunqsqrades, Arch. Rational Mech. Anal. , 42 (1971), 317-322
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##[8]
Biswa nath data, Numerical linear algebra, App1., 09 (2007), 620-700
]
Comparing Performance of Pid and Fuzzy Controllers in the Present of Noise for a Photovoltaic System
Comparing Performance of Pid and Fuzzy Controllers in the Present of Noise for a Photovoltaic System
en
en
The main advantage of using fuzzy controller for a hard nonlinear system, for instance solar cell, is the reduction of effect of uncertainty in system control. In this paper, this prominent quality has been tried to represent more with comparing fuzzy and PID controllers. Although PID controller is a linear controller but it can control many nonlinear and industrial systems with a much better performance. Howbeit it has less robustness against uncertainty. We have indicated that if an uncertainty for example a noise or a changing in the parameter of system, enters during the operation of system, fuzzy controller will decrease the effect of it better than PID controller.
69
76
Amir
Gheibi
S. Mohammad Ali
Mohammadi
Malihe M.
Farsangi
fuzzy logic control
Boost converter
PID controller
Maximum power point tracking
Solar cell
Article.8.pdf
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[1]
N. Femia, G. Petrone, Optimization of perturb and observe maximum power point tracking method, IEEE Power Electron, (2005), 963-973
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P. Wolfs, Quan Li, A current-sensor-free incremental conductance single cell MPPT for high performance vehicle solar arrays, Power Electronics Specialists Conference(PESC). 37th Annual IEEE, (2006), 1-7
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SMM Wolf, JHR Enslin, Economical PV maximum power point tracking regulator with simplistic controller, Power Electronics Specialists Conference (PESC). Annual IEEE, (1993), 581-587
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Fumihiko Umeda, Masato H. Ohsato, Gunji Kimora, Mitsuo Shioya, New control method of resonant dc-dc converter in small scaled photovoltaic system, Power electronics specialists conference (PESC). 23th Annual IEEE , (1992), 714-718
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C. Dorofte, U. Borup, F. Blaabjerg, A combined two-method MPPT control scheme for grid-connected photovoltaic systems, power electronics and applications, European Conference, (2005), 1-10
##[6]
CHEN Yu-yun, MAN Yong-kui, Constant current-based maximum power point tracking for photovoltaic power systems, EDT from IEEE, (2010), 3422-3425
##[7]
N. Mutoh, T. Matuo, Prediction-data-based maximum power point tracking for photovoltaic power generation system, IEEE. Power Electron conference. In Proc. 33rd Annu, (2002), 1489-1494
##[8]
Jiyong Li, Honghua Wang , Maximum Power Point Tracking of Photovoltaic Generation Based on the optimal Gradient method, IEEE, (2009), 1-4
##[9]
I. H. Altas, A. M. Sharaf, A novel maximum power fuzzy logic controller for photovoltaic solar energy systems, Renewable Energy journal , (2008), 388-399
##[10]
Xiangdong Qi, Hong Li, Application of Fuzzy Logic and Immune Response Feedback for PV Generating System, IEEE. Department of Electronic and information, (2007), -
##[11]
F. Bouchafaa, I. Hamzaoui, A. Hadjammar, Fuzzy Logic Control for the tracking of maximum power point of a PV system, Energy Procedia, (2011), 633-642
##[12]
Nopporn Patcharaprakiti , Suttichai Premrudeepreechacharn,Yosanai Sriuthaisiriwong, Maximum Power Point Tracking Using adaptive fuzzy logic control for grid-connected photovoltaic system, Renewable Energy , (2005), 1771-1788
##[13]
FENG Dongqing, MA Junlei, A MPPT PV system control method based on fuzzy neural network, Computing Technology and Automation journal, 26 (2007), 25-28
##[14]
J. M. Enrique, E. Duran, M. Sidrach-de-Cardona, J. M. Andujar, Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies, Solar Energy , (2007), 31-38
##[15]
C. Elmas, O. Deperlioglu, H. H. Sayan, Adaptive fuzzy logic controller for DC-DC converters, Expert Systems with Applications, Elsevier , (2009), 1540-1548
##[16]
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