A genetic algorithm to obtain the optimal recurrent neural network
✍ Scribed by A. Blanco; M. Delgado; M.C. Pegalajar
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 221 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0888-613X
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
For many optimum design problems, the objecti®e function is the result of a complex numerical code and may not be differentiable and explicit. The first aim is to propose a way of sol®ing such complexity on an example problem. A no®el and global strategy in®ol®ing artificial neural networks and a ge
This paper describes the implementation of a genetic algorithm to evolve the population of weight matrices for storing and recalling the patterns in a Hopfield type neural network model. In the Hopfield type neural network of associative memory, the appropriate arrangement of synaptic weights provid
In this work we present a new approach to crossover operator in the genetic evolution of neural networks. The most widely used evolutionary computation paradigm for neural network evolution is evolutionary programming. This paradigm is usually preferred due to the problems caused by the application