Application of fuzzy set theory and back-propagation neural networks in progressive die design-Reference-Cited by-同舟云学术

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Application of fuzzy set theory and back-propagation neural networks in progressive die design

Published:1996-01 Issue:4 Volume:15 Page:268-281
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Lin Zone-Ching,Chang Ho

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference19 articles.

1. Basic Die Making;Ostergaard,1975

2. Die Design Fundamentals;Paguin,1984

3. Planning and Building an Integrated Design Software of Blanking and Piercing Dies (ESSCP) with a Micro Expert System as a Main Structure;Lin;Journal of the Chinese Society of Mechanical Engineers,1989

Cited by 20 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. Generative Design of Progressive Die;International Journal of Mechanical Engineering and Robotics Research;2024

2. Prediction of Life of Compound Die Using Artificial Neural Network;AI Applications in Sheet Metal Forming;2016-10-28

3. Prediction of Life of Compound Die Using Artificial Neural Network (ANN);Key Engineering Materials;2014-09

4. Combining fuzzy weight average with fuzzy inference system for material substitution selection in electric industry;Computers & Industrial Engineering;2012-05

5. An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making;Knowledge-Based Systems;2011-08

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