A Study of The Prediction Model by Integrating Fuzzy Theory and Back-propagation Neural Networks
碩士 === 國立雲林科技大學 === 工業工程與管理系 === 104 === We often explore the causation lying in issue by using data analysis in our life. Structured data is divided into two categories, namely continuous data and discrete data. In this study, discrete data was the IC assembly wire bonding process parameter of Tagu...
Main Authors: | GAO, PEI-RU, 高佩如 |
---|---|
Other Authors: | HOU, TUNG-HSU |
Format: | Others |
Language: | zh-TW |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/60226219690286994189 |
Similar Items
-
Application of fuzzy sets theory and back-propagation neural networks to progressive dies design
by: ZHANG,HE, et al.
Published: (1991) -
Integration of Artificial Immune System based Back-Propagation Neural Network and Fuzzy Neural Network for Sales Forecasting
by: Yun-Shan Tseng, et al.
Published: (2012) -
Study of Back Propagation Neural Network for Quality Evaluation of PV Modules
by: Ru-Ben Huang, et al.
Published: (2013) -
Earthquake Prediction Via Back Propagation Neural Network
by: Yun-Chien Chen, et al.
Published: (2013) -
The Integration of Grey Theory and Back-Propagation Neural Network for Predicting Sales Volume of Dairy products in a Campus
by: Zhong Jiang Cheng, et al.
Published: (2007)