Multilayer neural networks for solving a class of partial differential equations

Neural Networks

Volumn 13, Issue 3, 2000, Pages 385-396

  He, S ^a   Reif, K ^b   Unbehauen, R ^c  

^a UNIVERSITY OF MANITOBA   (Canada)

^b BMW AG   (Germany)

^c UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Approximate linearization; Multilayer feedforward networks; Partial differential equations

Indexed keywords

APPROXIMATION THEORY; BACKPROPAGATION; COMPUTER SIMULATION; FEEDBACK CONTROL; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LINEARIZATION; PARTIAL DIFFERENTIAL EQUATIONS;

APPROXIMATE LINEARIZABLE SYSTEMS;

MULTILAYER NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; FEEDBACK SYSTEM; NONLINEAR SYSTEM; POSITIVE FEEDBACK; PRIORITY JOURNAL; PROBLEM SOLVING; SIMULATION; TRAINING;

ALGORITHMS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER);

EID: 0034019550     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(00)00013-7     Document Type: Article

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