Single Layer Chebyshev Neural Network Model for Solving Elliptic Partial Differential Equations

The purpose of the present study is to solve partial differential equations (PDEs) using single layer functional link artificial neural network method. Numerical solution of elliptic PDEs have been obtained here by applying Chebyshev neural network (ChNN) model for the first time. Computations becom...

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Veröffentlicht in:	Neural processing letters 2017-06, Vol.45 (3), p.825-840
Hauptverfasser:	Mall, Susmita, Chakraverty, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Artificial Intelligence Artificial neural networks Back propagation networks Boundary value problems Chebyshev approximation Complex Systems Computational Intelligence Computer Science Elliptic functions Error functions Mathematical models Methods Neural networks Nonlinear equations Numerical analysis Optimization techniques Parameter modification Partial differential equations Polynomials Schrodinger equation
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