Optimizing synaptic weights of neural networks

Proceedings of the Third International Conference on Engineering Computational Technology

Volumn , Issue , 2002, Pages 211-212

  Drchal, J ^b   Kucerova A ^a   Nemecek J ^a  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b NONE

Author keywords

Backpropagation; Fitting; Genetic algorithms; Neural networks; Nonlinear problems; Parameter estimation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CIVIL ENGINEERING; COMPUTATIONAL COMPLEXITY; CURVE FITTING; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; MODEL STRUCTURES; OPTIMIZATION; PARAMETER ESTIMATION; PARTIAL DIFFERENTIAL EQUATIONS; PROBLEM SOLVING;

AEONS; DIFFERENTIAL OPERATORS; MICROPLANE MODEL; NONLINEAR PROBLEMS; SOFT COMPUTING METHODS; SYNAPTIC WEIGHTS;

NEURAL NETWORKS;

EID: 0036922475     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. G. Yagawa and H. Okuda: Neural networks in computational mechanics, CIMNE, 1996
2. Z. Michalewicz: Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag, 1992
3. O. Hrstka, A. Kučerová, M. Lepš and J. Zeman: A competitive comparison of different types of evolutionary algorithms. In Proceedings of the Sixth International Conference of Artificial Intelligence to Civil and Structural Engineering, Civil-Comp Press, 2001
4. L. H. Tsoukalas and R. E. Uhri: Fuzzy and neural approaches in engineering, John Willey & Sons, 1997