Control Chart Pattern Recognition Using Spiking Neural Networks

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

Statistical process control (SPC) is a method for improving the quality of products. Control charting plays the most important role in SPC. A control chart can be used to indicate whether a manufacturing process is under control. Unnatural patterns in control charts mean that there are some unnatural causes for variations. Therefore, control chart pattern recognition is important in SPC. In recent years, neural network techniques have increasingly been applied to pattern recognition. Spiking neural networks (SNNs) are the third generation of artificial neural networks, with spiking neurons as processing elements. In SNNs, time is an important feature for information representation and processing. Latest research has shown SNNs to be computationally more powerful than other types of artificial neural networks. This chapter proposes the application of SNN techniques to control chart pattern recognition. It focuses on the architecture and the learning procedure of the network. Experimental studies are illustrated to prove that the proposed architecture and the learning procedure give high pattern recognition accuracies. © 2006

Original languageEnglish
Title of host publicationIntelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006
PublisherElsevier Ltd
Pages319-325
Number of pages7
ISBN (Print)9780080451572
DOIs
Publication statusPublished - 2006
Externally publishedYes

Fingerprint

Pattern recognition
Neural networks
Statistical process control
Processing
Control charts
Neurons

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Pham, D. T., & Sahran, S. (2006). Control Chart Pattern Recognition Using Spiking Neural Networks. In Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006 (pp. 319-325). Elsevier Ltd. https://doi.org/10.1016/B978-008045157-2/50059-6

Control Chart Pattern Recognition Using Spiking Neural Networks. / Pham, D. T.; Sahran, Shahnorbanun.

Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006. Elsevier Ltd, 2006. p. 319-325.

Research output: Chapter in Book/Report/Conference proceedingChapter

Pham, DT & Sahran, S 2006, Control Chart Pattern Recognition Using Spiking Neural Networks. in Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006. Elsevier Ltd, pp. 319-325. https://doi.org/10.1016/B978-008045157-2/50059-6
Pham DT, Sahran S. Control Chart Pattern Recognition Using Spiking Neural Networks. In Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006. Elsevier Ltd. 2006. p. 319-325 https://doi.org/10.1016/B978-008045157-2/50059-6
Pham, D. T. ; Sahran, Shahnorbanun. / Control Chart Pattern Recognition Using Spiking Neural Networks. Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006. Elsevier Ltd, 2006. pp. 319-325
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