Multilayer perceptron neural networks with novel unsupervised training method for numerical solution of the partial differential equations

Applied Soft Computing Journal

Volumn 9, Issue 1, 2009, Pages 20-29

  Shirvany, Yazdan ^a   Hayati, Mohsen ^a   Moradian, Rostam ^a  

^a RAZI UNIVERSITY   (Iran)

Author keywords

Hydrogen atom; Multilayer perceptron; Nonlinear Schrodinger equation; Ordinary differential equation; Partial differential equation; Radial basis function; Triangle shaped quantum well

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOUNDARY CONDITIONS; BOUNDARY VALUE PROBLEMS; COMPUTATIONAL FLUID DYNAMICS; CONTROL NONLINEARITIES; CONTROL THEORY; CONVERGENCE OF NUMERICAL METHODS; DIFFERENCE EQUATIONS; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); ELECTRIC LOADS; FEEDFORWARD NEURAL NETWORKS; FINITE ELEMENT METHOD; HYDROGEN; IMAGE SEGMENTATION; MULTILAYER NEURAL NETWORKS; MULTILAYERS; NETWORK PROTOCOLS; NONLINEAR EQUATIONS; NUMERICAL METHODS; ORDINARY DIFFERENTIAL EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; RADIAL BASIS FUNCTION NETWORKS; RUNGE KUTTA METHODS; SCHRODINGER EQUATION; SENSOR NETWORKS;

HYDROGEN ATOM; MULTILAYER PERCEPTRON; NONLINEAR SCHRODINGER EQUATION; ORDINARY DIFFERENTIAL EQUATION; PARTIAL DIFFERENTIAL EQUATION; RADIAL BASIS FUNCTION; TRIANGLE-SHAPED QUANTUM WELL;

NEURAL NETWORKS;

EID: 53749088345     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2008.02.003     Document Type: Article

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