Abstract
The Genetically Optimized Neural Network System (GONNS) is proposed to select the optimal cutting conditions in micro-end-milling operations. Two Backpropagation (BP) type Artificial Neural Networks (ANN) represented the characteristics of feed and thrust direction cutting forces. Genetic algorithm found the optimal cutting conditions by evaluating the cutting force estimations of two ANNs. The GONNS is a very convenient computational tool for optimization problems when systems have complex relationship and some experimental data is available. © Springer-Verlag Berlin Heidelberg 2003.
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CITATION STYLE
Bao, W. Y., Chen, P., Tansel, I. N., Reen, N. S., Yang, S. Y., & Rincon, D. (2003). Selection of optimal cutting conditions by using the Genetically Optimized Neural Network System (GONNS). Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2714, 1026–1032. https://doi.org/10.1007/3-540-44989-2_122
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