We show how a neural net, with sign restrictions on its weights, can be trained to produce approximate solutions to fuzzy linear programming problems. The neural net approximates the joint solution (Buckley, 1995) to the fuzzy linear program.
Neural net solutions to fuzzy problems: The quadratic equation
β Scribed by J.J. Buckley; E. Eslami
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 670 KB
- Volume
- 86
- Category
- Article
- ISSN
- 0165-0114
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β¦ Synopsis
This paper continues our research on using neural nets to solve fuzzy equations. After outlining our general method of employing neural nets to solve fuzzy problems we concentrate on solving the fuzzy quadratic equation. We show how neural nets can produce both real, and complex, fuzzy number solutions. '7 (~ 1997
π SIMILAR VOLUMES
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