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切削用量智能化选择的神经网络建模
引用本文:李旭东,黄克正,尚勇. 切削用量智能化选择的神经网络建模[J]. 组合机床与自动化加工技术, 1999, 0(10): 13-16,41
作者姓名:李旭东  黄克正  尚勇
作者单位:山东省CAD工程技术中心!山东济南250061
摘    要:最佳切削用量的选择是机械加工中的一个重要方面。本文提出了运用神经网络的非线性建模原理和自学习能力,在各种切削用量选择影响因素和切削用量之间建立起函数映射关系,实现切用量的智能化选择。

关 键 词:切削用量 人工神经网络 建模 智能化

Intelligent determination of cutting conditions based on neural network
Li Xudong Huang Kezheng Shang Yong Ai Xing. Intelligent determination of cutting conditions based on neural network[J]. Modular Machine Tool & Automatic Manufacturing Technique, 1999, 0(10): 13-16,41
Authors:Li Xudong Huang Kezheng Shang Yong Ai Xing
Affiliation:Li Xudong Huang Kezheng Shang Yong Ai Xing
Abstract:Optimum determination of cutting conditions is important in machining.In order to realize it intelligently,it is proposed in this paper to utilize the non linear modeling theory and self learning capability of neural network to setup mapping relations between the cutting conditions and other influential factors.Finally,the cutting conditions determination software developed for turning machining based on the above model has been put into application to show its feasibility and effectiveness.
Keywords:cutting conditions  artificial neural network  modeling  intellectualization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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