20.500.12556/DKUM-25669 Approach to optimization of cutting conditions by using artificial neural networks Optimum selection of cutting conditions importantly contribute to the increase of productivity and the reduction of costs, therefore utmost attention is paid to this problem in this contribution. In this paper, a neural network-based approach to complex optimization of cutting parameters is proposed. It describes the multi-objective technique of optimization of cutting conditions by means of the neural networks taking into consideration the technological, economic and organizational limitations. To reach higher precision of the predicted results, a neural optimization algorithm is developed and presented to ensure simple, fast and efficient optimization of all important turning parameters. The approach is suitable for fast determination of optimum cutting parameters during machining, where there is not enough time for deep analysis. To demonstrate the procedure and performance of the neural network approach, an illustrative example is discussed in detail. optimization cutting parameter optimization genetic algorithm cutting parameters neural network algorithm machining metal cutting optimiranje optimiranje rezalnih parametrov genetski algoritmi nevronske mreže rezalni parametri algoritem nevronskih mrež obdelovanje rezanje kovin true false false Angleški jezik Angleški jezik Neznano 2012-05-30 14:39:59 2012-05-30 14:39:59 2022-04-15 03:39:47 2023-12-31 03:27:12 2006 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.914:[004.89:007.52] 10137878 0924-0136 URN:SI:UM:DK:8YHHQYLJ http://dx.doi.org/10.1016/j.jmatprotec.2005.04.123 1 https://dk.um.si/Dokument.php?lang=slv&id=34513 Fakulteta za strojništvo 0 0 0