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Quality Engineering Volume 18, 2006 - Issue 3
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Original Articles

A Neural Network-Based Approach for Statistical Probability Distribution Recognition

C.-T. Su Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan
&
C.-J. Chou Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, TaiwanCorrespondence[email protected]
Pages 293-297 | Published online: 15 Mar 2007

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Don Harris & Wen-Chin Li. (2019) Using Neural Networks to predict HFACS unsafe acts from the pre-conditions of unsafe acts. Ergonomics 62:2, pages 181-191.
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Articles from other publishers (5)

Jorge Morales & Wen Yu. (2022) Bayesian inference for neural network based high-precision modeling. Bayesian inference for neural network based high-precision modeling.
Jorge Morales & Wen Yu. (2021) Improving neural network’s performance using Bayesian inference. Neurocomputing 461, pages 319-326.
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Liang-Ting Tsai, Chih-Chien Yang & Timothy Teo. 2014. Encyclopedia of Business Analytics and Optimization. Encyclopedia of Business Analytics and Optimization 2706 2716 .
Yih Shan Shih, Liang Ting Tsai & Chih Chien Yang. (2013) Exploring the Factor Effect of Learning Vector Quantization in Artificial Neural Networks. Applied Mechanics and Materials 284-287, pages 3097-3101.
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Liang Ting Tsai & Chih-Chien Yang. (2012) Improving measurement invariance assessments in survey research with missing data by novel artificial neural networks. Expert Systems with Applications 39:12, pages 10456-10464.
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