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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2005.4
- 수록면
- 264 - 269 (6page)
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Advances in sensors, actuators, and computers and developments in information systems offer unprecedented opportunities to implement highly ambitious automation, control and decision strategies. There are also new challenges and demands for control and automation in modern industrial practices. There is a growing need for an active participation from the information systems in industrial, manufacturing and process industry environments because currently there are many control problems. This paper provides pattern recognition to the monitoring system for solvent manufacturing process and shows performance in real-time response with multiple input signals. Data is learned by a multilayer feedforward network trained by error-backpropagation. The two kinds of test results show that the trained network has the ability to show the current system status with different input data sets.
목차
Abstract
1. Introduction
2. Description of a Monitoring System
3. Neural Network Implementation for Process Monitoring
4. Conclusion
References
저자소개
참고문헌 (7)
참고문헌 신청
[학술지(정기간행물)] - / 1997. / 30 year of Multidimensional Multivariate Visualization
[학술지(정기간행물)] - / 18-231993. / An Adaptive Predictive Diagnostic System Based on Fuzzy Pattern Recognition 12th World Congress of the International Federation of Automatic Control
[학술지(정기간행물)] - / mcs2000vol.18572000. / Ensembling Methods in Machine Learning. In Series Lecture Notes in Computer Science : 1 ~ 15
[학술지(정기간행물)] - / 1997. / Neural and Fuzzy Modeling and Fuzzy Predictive Control of a Non-linear Coupled Multi-variable Plant Proceedings of the European Conferenceon Intelligent Techniques and Soft Computers : 1311 ~ 1315
[학술지(정기간행물)] - / 1994. / Biosignal Pattern Recognition and Interpretation Systems 13 : 269 ~ 272
[학술지(정기간행물)] - / 18-231993. / An Adaptive Predictive Diagnostic System Based on Fuzzy Pattern Recognition 12th World Congress of the International Federation of Automatic Control
[학술지(정기간행물)] - / mcs2000vol.18572000. / Ensembling Methods in Machine Learning. In Series Lecture Notes in Computer Science : 1 ~ 15
[학술지(정기간행물)] - / 1997. / Neural and Fuzzy Modeling and Fuzzy Predictive Control of a Non-linear Coupled Multi-variable Plant Proceedings of the European Conferenceon Intelligent Techniques and Soft Computers : 1311 ~ 1315
[학술지(정기간행물)] - / 1994. / Biosignal Pattern Recognition and Interpretation Systems 13 : 269 ~ 272
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UCI(KEPA) : I410-ECN-0101-2009-028-014780006