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Designing Fuzzy Systems to Predict Efficiency of the Non-Pharmacological Treatment

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Abstract:

A method for choosing rehabilitation programs on the basis of fuzzy classifiers and approximators is proposed. Fuzzy systems are identified using swarm intelligence methods and methods based on derivatives. The results of the system operation on the real data are given.

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Periodical:

Advanced Materials Research (Volume 1085)

Pages:

465-470

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1085.465

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Online since:

February 2015

Authors:

Ilya Hodashinsky*, Alexander Anfilofyev, Roman Meshcheryakov, Ivan Gorbunov

Keywords:

Ant Colony Optimization, Bee Colony Algorithm, Fuzzy System Optimization, Materials in Medicine, Non-Pharmacological Treatment, Particle Swarm Optimization (PSO)

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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