Genetic algorithms applied to estimate 6-parameters model which define analytical function to simulate the motor unity force from experimental measures

J. P. Bermeo; F. Sanchez; J. Bravo; L. Bueno; J. D. Jara; R. Rodas

doi:10.1007/978-981-10-9035-6_124

Genetic algorithms applied to estimate 6-parameters model which define analytical function to simulate the motor unity force from experimental measures

J. P. Bermeo, F. Sanchez, J. Bravo, L. Bueno, J. D. Jara, R. Rodas

Research output: Contribution to conference › Paper

Original language	English (US)
Pages	665-668
Number of pages	4
DOIs	https://doi.org/10.1007/978-981-10-9035-6_124
State	Published - 1 Jan 2019
Event	IFMBE Proceedings - , Germany Duration: 1 Jan 2007 → …

Conference

Conference	IFMBE Proceedings
Country	Germany
Period	1/01/07 → …

Keywords

6-parameters model
Electromyograph
Genetic algorithms
Motor unity
Optimization

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10.1007/978-981-10-9035-6_124

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title = "Genetic algorithms applied to estimate 6-parameters model which define analytical function to simulate the motor unity force from experimental measures",

keywords = "6-parameters model, Electromyograph, Genetic algorithms, Motor unity, Optimization",

author = "Bermeo, {J. P.} and F. Sanchez and J. Bravo and L. Bueno and Jara, {J. D.} and R. Rodas",

year = "2019",

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doi = "10.1007/978-981-10-9035-6_124",

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AU - Bermeo, J. P.

AU - Sanchez, F.

AU - Bravo, J.

AU - Bueno, L.

AU - Jara, J. D.

AU - Rodas, R.

PY - 2019/1/1

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KW - Electromyograph

KW - Genetic algorithms

KW - Motor unity

KW - Optimization

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T2 - IFMBE Proceedings

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