Change Point Determination for an Attribute Process Using an Artificial Neural Network-Based Approach
The change point identification has played a vital role in process improvement for an attribute process. This identification is able to effectively help process personnel to quickly determine the corresponding root causes and significantly improve the underlying process. Although many studies have f...
Main Authors: | Yuehjen E. Shao, Ke-Shan Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2015/892740 |
Similar Items
-
Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches
by: Yuehjen E. Shao
Published: (2014-01-01) -
Prediction of Currency Volume Issued in Taiwan Using a Hybrid Artificial Neural Network and Multiple Regression Approach
by: Yuehjen E. Shao
Published: (2013-01-01) -
Hybrid Artificial Neural Networks Modeling for Faults Identification of a Stochastic Multivariate Process
by: Yuehjen E. Shao, et al.
Published: (2013-01-01) -
Fault Identification in Industrial Processes Using an Integrated Approach of Neural Network and Analysis of Variance
by: Yuehjen E. Shao, et al.
Published: (2013-01-01) -
Using a Time Delay Neural Network Approach to Diagnose the Out-of-Control Signals for a Multivariate Normal Process with Variance Shifts
by: Yuehjen E. Shao, et al.
Published: (2019-10-01)