A new approach for finding the global minimum of error function of neural networks

Neural Networks

Volumn 2, Issue 5, 1989, Pages 367-373

  Baba, Norio ^a  

^a UNIVERSITY OF TOKUSHIMA   (Japan)

Author keywords

Back propagation method; Learning; Neural network computing; Random optimization method

Indexed keywords

ARTIFICIAL INTELLIGENCE; PATTERN RECOGNITION;

BACK-PROPAGATION METHOD; LEARNING; MINIMIZATION ALGORITHMS; NEURAL NETWORK COMPUTING; PATTERN CLASSIFICATION; RANDOM OPTIMIZATION METHOD;

SYSTEMS SCIENCE AND CYBERNETICS;

EID: 0024931167     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(89)90021-X     Document Type: Article

References (7)

1. A modified convergence theorem for a random optimization method
2. Thermodynamical approach to the travelling salesman problem an efficient simulation algorithm
3. Diffusions for global optimization
4. Optimization by simulated annealing
5. Random optimization
6. Minimization by random search techniques