Evolutionary neuro-fuzzy system for surface roughness evaluation

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• 作者：Ph.D. Ilija Svalina ; ^{isvalina@sfsb.hr} ; Ph.D. Goran &Scaron ; imunović ; Ph.D. Tomislav &Scaron ; arić ; Ph.D. Roberto Lujić
• 关键词：Surface roughness ; Cutting parameters ; Adaptive neuro-fuzzy inference system (ANFIS) ; Fuzzy inference system (FIS) ; Genetic algorithm (GA)
• 刊名：Applied Soft Computing
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：52
• 期：Complete
• 页码：593-604
• 全文大小：3924 K
• 卷排序：52

文摘

A system that integrates prediction, optimization and control with an emphasis on product quality in view of the surface roughness. The choice of cutting parameters that ensure the desired product quality in a known unit time. The flexibility of the system according to the current demands on product quality.