In the paper we address the design and selection of products in the framework of genetic algorithms and neural networks. We propose a procedure in alternative to the current methodologies and illustrate its advantages and disadvantages. The results of a real-world application are reported. Although
Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms
✍ Scribed by Konstantinos P. Ferentinos
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 325 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0893-6080
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