Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees
Author:
Funder
Directorate of Higher Education, the Republic of Indonesia
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference59 articles.
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3. Anam, K., Khushaba, R., & Al-Jumaily, A. (2013). Two-channel surface electromyography for individual and combined finger movements. In Proceeding of the 35th annual international IEEE engineering medicine and biology society conference, EMBC (pp. 4961–4964).
4. Feature selection for nonlinear models with extreme learning machines;BenoíT;Neurocomputing,2013
5. SRDA: An efficient algorithm for large-scale discriminant analysis;Cai;IEEE Transactions on Knowledge and Data Engineering,2008
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