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
✦ LIBER ✦
Optimization of Catalyst for Methanol Synthesis by a Combinatorial Approach Using a Parallel Activity Test and Genetic Algorithm Assisted by a Neural Network
✍ Scribed by Umegaki, Tetsuo; Watanabe, Yuhsuke; Nukui, Noritoshi; Omata, Kohji; Yamada, Muneyoshi
- Book ID
- 120272135
- Publisher
- American Chemical Society
- Year
- 2003
- Tongue
- English
- Weight
- 451 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0887-0624
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