{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T17:35:05Z","timestamp":1725471305169},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540464846"},{"type":"electronic","value":"9783540464853"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11893295_65","type":"book-chapter","created":{"date-parts":[[2006,10,2]],"date-time":"2006-10-02T16:23:21Z","timestamp":1159806201000},"page":"589-595","source":"Crossref","is-referenced-by-count":0,"title":["Multi-degree Prosthetic Hand Control Using a New BP Neural Network"],"prefix":"10.1007","author":[{"given":"R. C.","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. Z.","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H.","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"65_CR1","first-page":"97","volume":"18","author":"T.G. Dietterich","year":"1997","unstructured":"Dietterich, T.G.: Machine-learning research. Four current directions. AI Magazine\u00a018, 97\u2013136 (1997)","journal-title":"AI Magazine"},{"key":"65_CR2","first-page":"496","volume":"26","author":"S.C. Shi","year":"2004","unstructured":"Shi, S.C., Gao, X.H., Jiang, L., Liu, H.: Development of the Underactuated Self-adaptive Robotic Hand. Robot\u00a026, 496\u2013501 (2004)","journal-title":"Robot"},{"key":"65_CR3","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/10.204774","volume":"40","author":"B. Hudgins","year":"1993","unstructured":"Hudgins, B., Parker, P., Scott, R.N.: A new strategy for multifunction myoelectric control. IEEE Transactions on Biomedical Engineering\u00a040, 82\u201394 (1993)","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"65_CR4","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/TAC.1985.1103788","volume":"30","author":"G. Kitagawa","year":"1985","unstructured":"Kitagawa, G., Gersch, W.: A smoothness priors time-varying AR coefficient modeling of nonstationary covariance time series. IEEE Transactions on Automatic Control\u00a030, 48\u201356 (1985)","journal-title":"IEEE Transactions on Automatic Control"},{"key":"65_CR5","doi-asserted-by":"publisher","first-page":"1304","DOI":"10.1121\/1.1914702","volume":"55","author":"B.S. Atal","year":"1974","unstructured":"Atal, B.S.: Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification. Journal of the Acoustical Society of America\u00a055, 1304\u20131312 (1974)","journal-title":"Journal of the Acoustical Society of America"},{"key":"65_CR6","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a024, 123\u2013140 (1996)","journal-title":"Machine Learning"},{"key":"65_CR7","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1109\/MEMB.2002.1175148","volume":"21","author":"S.E. Hussein","year":"2002","unstructured":"Hussein, S.E., Granat, B.A.: Intention detection using a neuro-fuzzy EMG classifier. IEEE Engineering in Medicine and Biology Magazine\u00a021, 123\u2013129 (2002)","journal-title":"IEEE Engineering in Medicine and Biology Magazine"},{"key":"65_CR8","first-page":"431","volume-title":"Classification of the myoelectric signal using time-frequency based representations","author":"K. Englehart","year":"1999","unstructured":"Englehart, K., Hudgins, B., Parker, P.A., Stevenson, M.: Classification of the myoelectric signal using time-frequency based representations, vol.\u00a021, pp. 431\u2013438. Elsevier, Amsterdam (1999)"},{"key":"65_CR9","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1109\/10.844224","volume":"47","author":"M. Khalil","year":"2000","unstructured":"Khalil, M., Duchene, J.: A dynamic approach for change detection and classification. IEEE Transactions on Biomedical Engineering\u00a047, 748\u2013756 (2000)","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"65_CR10","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/0013-4694(83)90212-2","volume":"55","author":"J.L. Coatrieux","year":"1983","unstructured":"Coatrieux, J.L., Toulouse, P., Rouvrais, B., Le Bars, R.: Automatic classification of electromyographic signals. Electroencephalography and Clinical Neurophysiology\u00a055, 333\u2013341 (1983)","journal-title":"Electroencephalography and Clinical Neurophysiology"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11893295_65.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T07:36:02Z","timestamp":1619508962000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11893295_65"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540464846","9783540464853"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/11893295_65","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}