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Conference papers

Is Extreme Learning Machine Effective for Multisource Friction Modeling?

Abstract : The aim of this contribution is to discuss suitability of extreme learning machine (ELM) approach for modeling multisource friction for motion control purposes. The specific features of multisource friction in mechatronic systems are defined, the main aspects of friction modeling by a standard ELM are investigated and some modifications are proposed to make it more suitable for specific demands of the discussed task. This allows to formulate some general remarks concerning properties of ELM for function approximation.
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Submitted on : Friday, October 21, 2016 - 11:43:24 AM
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Jacek Kabziński. Is Extreme Learning Machine Effective for Multisource Friction Modeling?. 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. pp.318-333, ⟨10.1007/978-3-319-23868-5_23⟩. ⟨hal-01385367⟩



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