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Hybrid soft computing models for systems modeling and control

Springer New York, (2012), 1547-1563
DOI: 10.1007/978-1-4614-1800-9_99
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Abstract

Article Outline: Glossary Definition of the Subject Introduction Genetic Algorithm for Optimization Evolution of Fuzzy Systems Application to Anesthesia Control Application to the Control of the Bar and Ball System Hierarchical Genetic Algorithms for Neural Networks Experimental Results for Time Series Prediction Conclusions Future Directions Bibliography

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Castillo, O., & Melin, P. (2012). Hybrid soft computing models for systems modeling and control. In Computational Complexity: Theory, Techniques, and Applications (Vol. 9781461418009, pp. 1547–1563). Springer New York. https://doi.org/10.1007/978-1-4614-1800-9_99

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