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
Design of fuel additives using neural networks and evolutionary algorithms
โ Scribed by Anantha Sundaram; Prasenjeet Ghosh; James M. Caruthers; Venkat Venkatasubramanian
- Publisher
- American Institute of Chemical Engineers
- Year
- 2001
- Tongue
- English
- Weight
- 444 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0001-1541
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