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

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

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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Veröffentlicht in:Advanced Materials Research 2015-02, Vol.1085, p.465-470
Hauptverfasser: Meshcheryakov, Roman, Hodashinsky, Ilya, Gorbunov, Ivan, Anfilofyev, Alexander
Format: Artikel
Sprache:eng
Schlagworte:
Approximation
Classifiers
Derivatives
Fuzzy
Fuzzy systems
Rehabilitation
Swarm intelligence
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Beschreibung
Zusammenfassung: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.
ISSN:1022-6680
1662-8985
1662-8985
DOI:10.4028/www.scientific.net/AMR.1085.465