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Hybrid intelligent systems for industrial data analysis

โœ Scribed by Arthur K. Kordon

Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
264 KB
Volume
19
Category
Article
ISSN
0884-8173

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โœฆ Synopsis

A novel approach for industrial data analysis based on integration of three key computational intelligence approaches-genetic programming (GP), analytical neural networks, and support vector machines (SVMs)-is proposed. The developed empirical models have good generalization capabilities, explicit input/output relationships, self-assessment capabilities, and low implementation and maintenance cost. The proposed approach has been implemented in several industrial applications in The Dow Chemical Company.

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