Neural network training and simulation using a multidimensional optimization system

DOI10.1080/00207169808804651zbMath0892.68086OpenAlexW1968221071MaRDI QIDQ4380244

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Publication date: 11 March 1998

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207169808804651

zbMATH Keywords

neural network simulation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Numerical solution for high order differential equations using a hybrid neural network-optimization method ⋮ Solving initial-boundary value problems for systems of partial differential equations using neural networks and optimization techniques ⋮ Probability density estimation using artificial neural networks ⋮ Artificial neural network approach for solving fuzzy differential equations ⋮ Training the random neural network using quasi-Newton methods ⋮ MERLIN-3. 0. A multidimensional optimization environment

Uses Software

• MERLIN
• MCL

Cites Work

• Self-organization and associative memory
• Generalized Polak-Ribière algorithm
• Function minimization by conjugate gradients
• A new approach to variable metric algorithms

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