Support Vector Machine (SVM) based general model building algorithm for production control-Reference-Cited by-同舟云学术

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Support Vector Machine (SVM) based general model building algorithm for production control

Published:2011-01 Issue:1 Volume:44 Page:14103-14108
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Viharos Zsolt János,Kis Krisztián Balázs

Publisher

Elsevier BV

Subject

General Medicine

Reference14 articles.

1. An interpretive look at 20th century research on modelling of machining (inagural address);Merchant;Proc. of the CIRP International Workshop on Modelling of Machining Operations,1998

2. Developing empirical models from observational data using artificial neural networks;Yerramareddy;Journal of Intelligent Manufacturing,1993

3. Developments and trends in monitoring and control of machining processes;Tönshoff;CIRP Annals,1988

4. Support vector networks;Cortes;Machine Learning,1995

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification;Computers in Industry;2019-04

2. A comparison of machine learning methods for cutting parameters prediction in high speed turning process;Journal of Intelligent Manufacturing;2016-02-22

3. Application of Support Vector Machines to the induction motor parameters identification;Measurement;2014-05

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