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Content Provider | IEEE Xplore Digital Library |
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Author | Li Xu Chao Liang Ke Wu |
Copyright Year | 2011 |
Description | Author affiliation: Mechanical Power and Engineering College, Harbin University of Science and Technology, Harbin, China (Li Xu; Chao Liang; Ke Wu) |
Abstract | The technology of Wire cut Electrical Discharge Machining (WEDM) is widely used in machinery manufacturing industry, but chooses the technological parameters is so difficult that it can influence the quality of processing and productivity. As a new type of neural network modeling tools, neural network is a neuron by a number of large-scale cross-link the composition of parallel distributed information processing system with self-organizing, self-learning and good fault tolerance system complexity can be used to simulate realistic input and output relations, has a strong nonlinear modeling capability. In this paper, modeling of traditional method is adopted to solve the problem at first, and then combining the characteristics of artificial neural network using WEDM process simulation model. |
Starting Page | 1013 |
Ending Page | 1016 |
File Size | 965836 |
Page Count | 4 |
File Format | |
ISBN | 9781612840871 |
e-ISBN | 9781612840888 |
DOI | 10.1109/EMEIT.2011.6023266 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-08-12 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | RBF neural network Simulation Fitting Radial basis function networks Predictive models Surface roughness Rough surfaces Biological neural networks Surface treatment WEDM |
Content Type | Text |
Resource Type | Article |
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