]>
2014
12
2
73
Recommendations for Academic Major of Students with Case-based Reasoning Method to the Case of Iran
Recommendations for Academic Major of Students with Case-based Reasoning Method to the Case of Iran
en
en
In some schools took place in the East Azerbaijan province in this year, a number of students were studied and compared in five different fields of study, based on several criteria, consist of Parental guidance, career, middle and high school grades, courses, etc. The purpose of this study was to predict academic major of students with Case-Based Reasoning method. Factors influencing the choice of the parameters are used in these predictions that the CBR method and other students behavior and process them by Matlab, appropriate field can be suggested for a given test set and measure accurately the amount of the recommendations.
99
104
Shiva
Asadianfam
Sima
Asadianfam
Case Based Reasoning Method
Recommender Systems
Data Mining.
Article.1.pdf
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[1]
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]
Some Approximated Solutions for Operator Equations by Using Frames
Some Approximated Solutions for Operator Equations by Using Frames
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en
In this paper we give some approximated solutions for an operator equation \(Lu=f\) where \(L: H\rightarrow H\) is a bounded and self adjoint operator on a separable Hilbert space \(H\). We use frames in order to precondition the linear equation so that convergence of iterative methods is improved. Also we find an exact solution associated to a frame and then we seek an approximated solution in a finite dimensional subspace of \(H\) that is generated by a finite frame sequence.
105
112
H.
Jamali
Operator equation
Separable Hilbert space
Frame
Approximated solution.
Article.2.pdf
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]
Comparison of Particle Swarm Optimization and Backpropagation Algorithms for Training Feedforward Neural Network
Comparison of Particle Swarm Optimization and Backpropagation Algorithms for Training Feedforward Neural Network
en
en
An interesting tool for non-linear multivariable modeling is the Artificial Neural Network (ANN) which has been developed recently. The use of ANN has been proved to be a cost-effective technique. It is very important to choose a suitable algorithm for training a neural network. Generally Backpropagation (BP) algorithm is used to train the neural network. While these algorithms prove to be very effective and robust in training many types of network structures, they suffer from certain disadvantages such as easy entrapment in a local minimum and very slow convergence. In this paper, to improve the performance of ANN, the adjustment of network weights using Particle Swarm Optimization (PSO) was proposed as a mechanism and the results obtained were compared with various BP algorithms such as Levenberg-Marquardt and gradient descent algorithms. Each of these networks runs and trains for different learning ratios, activation functions and numbers of neurons within their hidden layer. Among different criteria Mean Square Error (MSE) and Accuracy are the main selected criteria used for evaluating both models. Also the MSE was used as a criterion to specify optimum number of neurons in hidden layer. The results showed that PSO approach outperforms the BP for training neural network models.
113
123
Nasser
Mohammadi
Seyed Javad
Mirabedini
Particle Swarm Optimization
Backpropagation
Artificial Neural Network.
Article.3.pdf
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G. Das, P. K. Patnaik, S. K. Padhy, Artificial Neural Network trained by Particle Swarm Optimization for non-linear channel equalization, Expert Systems with Applications, 41 (2013), 3491-3496
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]
Application of Reduced Differential Transformation Method for Solving Fourth-order Parabolic Partial Differential Equations
Application of Reduced Differential Transformation Method for Solving Fourth-order Parabolic Partial Differential Equations
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en
The purpose of this paper is to obtain the approximate solution of fourth-order parabolic partial differential equations by the reduced differential transform method (RDTM).This method provides the solution in the form of a convergent series with easily calculable terms. Comparing RDTM with some other methods in the literature shows present approach is very simple, effective, powerful and can be easily applied to other linear or nonlinear PDEs in science and engineering.
124
131
Birol
Ibis
Reduced differential transform method (RDTM)
differential transform method (DTM) fourth-order parabolic partial differential equations
initial value problems.
Article.4.pdf
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]
Numerical Solution for Poisson Fractional Equation Via Finite Differences Theta-method
Numerical Solution for Poisson Fractional Equation Via Finite Differences Theta-method
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en
In this paper we examine \(\theta\)-method for solving fractional Possion differential equations for\((0\leq\theta\leq 1)\). Consistency, stability and convergence analysis of the method is discussed. At the end, numerical examples have been presented. The obtained results reveal that the proposed technique is very effective, convenient and quite accurate to such considered problems.
132
142
Mohammad
Aslefallah
Davood
Rostamy
Fractional PDE (FPDE)
Finite differences \(\theta\)-method
Riemann-Liouville derivative
Shifted Grunwald formula.
Article.5.pdf
[
[1]
M. Aslefallah, D. Rostamy, A Numerical Scheme For Solving Space-Fractional Equation By Finite Differences Theta-Method, Int. J. of Adv. in Aply. Math. and Mech, 1(4) (2014), 1-9
##[2]
D. A. Benson, M. M. Meerschaert, J. Revielle, Fractional calculus in hydrologic modeling: A numerical perspective, Advances in Water Resources , 51 (2013), 479-497
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A. Borhanifar, S. Valizadeh, A Fractional Finite Difference Method for Solving the Fractional Poisson Equation Based on the Shifted Grünwald Estimate, Walailak J. Sci. &Tech., 10(5) (2013), 427-435
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M. Alipour, D. Rostamy, Solving nonlinear fractional differential equations by Bernstein polynomials operational matrices, The J. of Math. And computer sci. (TJMS), 5(3) (2012), 185-196
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]
Investigation of the Coal Diameter Effect on Pulverized Coal Combustion for Pollutant Reduction
Investigation of the Coal Diameter Effect on Pulverized Coal Combustion for Pollutant Reduction
en
en
The effect of increase diameter of coal particles on pulverized coal combustion to produce
pollutants such as \(NO_x, CO, CO_2\) and C in a 2D combustion chamber have been studied in this
research by finite volume method. The numerical method is a generalized finite rate formulation,
known as the Magnussen model, which is based on the solution of species transport equation for
reactants and product concentration. The diameter of the pulverized coal varied from 0.0001 m to
0.0004 m which enters by the rate of 0.1 kg/s from the center of furnace. Moreover, air was preheated
by a high-temperature gas generator, and the preheated oxidizer temperature could achieve \(1400^o\) C.
The results show that by increasing the diameter of pulverized coal, the rate of formation of pollutants
as well as \(NO_x\) and the temperature of the flame decreased.
143
151
M. R.
Safaie
B.
Rahmanian
M.
Goodarzi
Pulverized Coal Combustion
Pollutants Reduction
Magnussen Model
Turbulent Flow.
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]
Some Result on Isomorphic Fuzzy Subgroups
Some Result on Isomorphic Fuzzy Subgroups
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en
The purpose of this paper is to give some properties of the isomorphic fuzzy subgroups and to obtain relationships among their level subgroups.
152
158
Hacı
Aktas
Fuzzy subgroup
isomorphic fuzzy subgroups.
Article.7.pdf
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R. Ameri, Fuzzy isomorphism and quotient of fuzzy sub polygroups, Quasi-groups and Related System, 13 (2005), 175-184
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On a Semi-symmetric Non-metric Connection in an Indefinite Para Sasakian Manifold
On a Semi-symmetric Non-metric Connection in an Indefinite Para Sasakian Manifold
en
en
The object of the present paper is to study a semi-symmetric non-metric connection in an indefinite para Sasakian manifold. In this paper, we obtain the relation between the semi-symmetric non-metric connection and Levi-Civita connection in an indefinite para Sasakian manifold. Also, the Nijenhuis tensor, curvature tensor and projective curvature tensor of semi-symmetric non-metric connection in an indefinite para Sasakian manifold have been studied.
159
172
S. K.
Pandey
G.
Pandey
K.
Tiwari
R. N.
Singh
Indefinite para Sasakian manifold
semi-symmetric non-metric connection
Nijenhuis tensor
projective curvature tensor.
Article.8.pdf
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