Abstract
The ways of application of artificial intelligence methods for optimization of design, perspective and directive technological processes of engine-building production in this publication are shown. The different choices of optimization of technological processes of engine-building production for providing the competitiveness of new products by means of the Elman and Jordan neural networks with elements of fuzzy logic and genetic algorithm are developed.
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