SELECTION OF STRUCTURE AND HYPER-PARAMETERS OF SVM FOR EFFICIENT SOLUTION OF THE TASKS OF CLASSIFICATION OF ELECTROMYOGRAPHY SIGNALS

Journal Title: Научный взгляд в будущее - Year 2019, Vol 1, Issue 14

Abstract

Support vector machine (SVM) is a widely used machine learning method for the problem of classifying electromyography signals. The purpose of this work is to search for efficient algorithms for the classification of such signals with minimal equipment cos

Authors and Affiliations

Andrej Vitalevich Semendarov

Keywords

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  • EP ID EP621047
  • DOI 10.30888/2415-7538.2019-14-01-010
  • Views 58
  • Downloads 0

How To Cite

Andrej Vitalevich Semendarov (2019). SELECTION OF STRUCTURE AND HYPER-PARAMETERS OF SVM FOR EFFICIENT SOLUTION OF THE TASKS OF CLASSIFICATION OF ELECTROMYOGRAPHY SIGNALS. Научный взгляд в будущее, 1(14), 23-33. https://europub.co.uk/articles/-A-621047