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Erschienen in:
1995 | OriginalPaper | Buchkapitel
Use of Genetic and Neural Technologies in Oil Equipment Computer-Aided Design
verfasst von : R. M. Vahidov, M. A. Vahidov, Z. E. Eyvazova
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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Oil pumping equipment designers have to solve different types of optimization problems. Use of strong mathematical means is frequently very difficult, or, even impossible because of complexity of those problems. This paper suggests using genetic algorithms as an alternate facility to find optimal parameters of pumping unit under given particular conditions. Neural networks are employed to approximate the best solution using statistics on already found solutions for a set of conditions. Experimental results are discussed.