乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,6,21]],"date-time":"2023-06-21T19:51:21Z","timestamp":1687377081731},"reference-count":39,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2009,5,1]],"date-time":"2009-05-01T00:00:00Z","timestamp":1241136000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2009,5]]},"DOI":"10.1016\/j.eswa.2008.09.052","type":"journal-article","created":{"date-parts":[[2008,9,27]],"date-time":"2008-09-27T10:04:20Z","timestamp":1222509860000},"page":"7567-7575","source":"Crossref","is-referenced-by-count":21,"title":["Optimizing the performance of an MLP classifier for the automatic detection of epileptic spikes"],"prefix":"10.1016","volume":"36","author":[{"given":"Yakup","family":"Kutlu","sequence":"first","affiliation":[]},{"given":"Mehmet","family":"Kuntalp","sequence":"additional","affiliation":[]},{"given":"Damla","family":"Kuntalp","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2008.09.052_bib1","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.eswa.2005.04.040","article-title":"Automated system for detection of epileptiform patterns in EEG by using a modified RBFN classifier","volume":"29","author":"Ac\u0131r","year":"2005","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2008.09.052_bib2","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1016\/j.compbiomed.2003.08.003","article-title":"Automatic spike detection in EEG by a two-stage procedure based on support vector machines","volume":"34","author":"Ac\u0131r","year":"2004","journal-title":"Computers in Biology and Medicine"},{"issue":"1","key":"10.1016\/j.eswa.2008.09.052_bib3","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/TBME.2004.839630","article-title":"Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks","volume":"52","author":"Ac\u0131r","year":"2005","journal-title":"IEEE Transactions on Biomedical Engineering"},{"issue":"5","key":"10.1016\/j.eswa.2008.09.052_bib4","doi-asserted-by":"crossref","DOI":"10.1109\/TBME.2004.826642","article-title":"Interictal spike detection using the walsh transform","volume":"51","author":"Adjouadi","year":"2004","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"10.1016\/j.eswa.2008.09.052_bib5","unstructured":"Amari, S. (1995). Training error, generalization error and learning curves in neural learning, artificial neural networks and expert systems. In Proceedings, second New Zealand international two-stream conference (pp. 4\u20135)."},{"key":"10.1016\/j.eswa.2008.09.052_bib6","series-title":"Neural networks for pattern recognition","author":"Bishop","year":"1995"},{"issue":"15","key":"10.1016\/j.eswa.2008.09.052_bib7","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1049\/el:20020592","article-title":"Regularization alleviation overfitting via genetically regularized neural network","volume":"38","author":"Chan","year":"2002","journal-title":"Electronics Letters"},{"key":"10.1016\/j.eswa.2008.09.052_bib8","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1016\/0013-4694(74)90099-6","article-title":"A glossary of terms most commonly used by clinical electroencephalographs","volume":"37","author":"Chatrian","year":"1974","journal-title":"Electroencephalography and Clinical Neurophysiology"},{"key":"10.1016\/j.eswa.2008.09.052_bib9","unstructured":"Chen, T. C., Han, D. J., Au, F. T. K., & Tham, L. G. (2003). Acceleration of Levenberg\u2013Marquardt training of neural networks with variable decay rate. In: Neural networks. Proceedings of the international joint conference (vol. 3, pp. 1873\u20131878)."},{"key":"10.1016\/j.eswa.2008.09.052_bib10","series-title":"Neural network toolbox for use with MATLAB","author":"Demuth","year":"1998"},{"issue":"12","key":"10.1016\/j.eswa.2008.09.052_bib11","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1109\/10.250582","article-title":"A multistage system to detect epileptiform activity in the EEG","volume":"40","author":"Dingle","year":"1993","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"10.1016\/j.eswa.2008.09.052_bib12","series-title":"Pattern classification","author":"Duda","year":"2001"},{"issue":"3","key":"10.1016\/j.eswa.2008.09.052_bib13","doi-asserted-by":"crossref","DOI":"10.1109\/TITB.2006.872067","article-title":"EEG transient event detection and classification using association rules","volume":"10","author":"Exarchos","year":"2006","journal-title":"IEEE Transactions on Information Technology in Biomedicine"},{"key":"10.1016\/j.eswa.2008.09.052_bib14","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/0013-4694(92)90086-W","article-title":"Automated inter-ictal EEG spike detection using artificial neural networks","volume":"83","author":"Gabor","year":"1992","journal-title":"Electroencephalography Clinical Neurophysiology"},{"key":"10.1016\/j.eswa.2008.09.052_bib15","unstructured":"G\u00f6ksan, B. (1998). Epilepside Tani Y\u00f6ntemleri. Epilepsilerde Tani ve Tedavi Sempozyumu (pp. 39\u201350). Istanbul."},{"key":"10.1016\/j.eswa.2008.09.052_bib16","unstructured":"Hagiwara, K., & Kuno, K. (2000). Regularization learning and early stopping in linear networks. In: Neural networks, IJCNN 2000, proceedings of the IEEE-INNS-ENNS international joint conference (vol. 4, pp, 511\u2013516)."},{"key":"10.1016\/j.eswa.2008.09.052_bib17","series-title":"Neural networks","author":"Haykin","year":"1999"},{"key":"10.1016\/j.eswa.2008.09.052_bib18","doi-asserted-by":"crossref","unstructured":"Hecht-Nielsen, R. (1989). Theory of the backpropagation neural network. In Neural networks, IJCNN, international joint conference (vol. 1, pp. 593\u2013605).","DOI":"10.1109\/IJCNN.1989.118638"},{"key":"10.1016\/j.eswa.2008.09.052_bib19","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1016\/j.compbiomed.2006.10.010","article-title":"A study on fuzzy C-means clustering-based systems in automatic spike detection","volume":"37","author":"\u0130nan","year":"2007","journal-title":"Computers in Biology and Medicine"},{"key":"10.1016\/j.eswa.2008.09.052_bib20","doi-asserted-by":"crossref","first-page":"2049","DOI":"10.1016\/S1388-2457(99)00168-6","article-title":"Detection of epileptiform discharges in the EEG by a hybrid system comprising mimetic, self-organized artificial neural network, and fuzzy logic stages","volume":"110","author":"James","year":"1999","journal-title":"Clinical Neurophysiology"},{"key":"10.1016\/j.eswa.2008.09.052_bib21","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/51.376754","article-title":"Wavelet processing for automated neural network detection of EEG spikes","volume":"13","author":"Kalayci","year":"1995","journal-title":"IEEE Engineering in Medicine and Biology Magazine"},{"key":"10.1016\/j.eswa.2008.09.052_bib22","series-title":"Clinical electroencephalography","author":"Kiloh","year":"1981"},{"key":"10.1016\/j.eswa.2008.09.052_bib23","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1016\/S1388-2457(99)00284-9","article-title":"Automatic spike detection via an artificial neural network using raw EEG data: Effect of data preparation and implications in the limitations of online recognition","volume":"111","author":"Ko","year":"2000","journal-title":"Clinical Neurophysiology"},{"key":"10.1016\/j.eswa.2008.09.052_bib24","series-title":"Methods of analysis of brain electrical and magnetic signals, EEG","author":"Ktonas","year":"1987"},{"key":"10.1016\/j.eswa.2008.09.052_bib25","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1056\/NEJM197507312930501","article-title":"Primer on certain elements of medical decision making","volume":"293","author":"McNeil","year":"1975","journal-title":"Journal of Medicine (The New England)"},{"key":"10.1016\/j.eswa.2008.09.052_bib26","doi-asserted-by":"crossref","unstructured":"Minnix, J. I. (1991). An analysis of the effects of the noisy training sets on the fault tolerance of neural networks. In Conference proceedings, IEEE international conference on decision aiding for complex systems (vol. 2, pp. 713\u2013718).","DOI":"10.1109\/ICSMC.1991.169770"},{"key":"10.1016\/j.eswa.2008.09.052_bib27","unstructured":"Nicholson, A. (2002). Generalization error estimates and training data valuation. Thesis, California Institute of Technology."},{"key":"10.1016\/j.eswa.2008.09.052_bib28","series-title":"Electroencephalography, basic principles, clinical applications and related fields","author":"Niedermeyer","year":"1993"},{"key":"10.1016\/j.eswa.2008.09.052_bib29","doi-asserted-by":"crossref","unstructured":"Nuh, M., Jazidie, A., & Muslim, M. A. (2002). Automatic detection of epileptic spikes based on wavelet neural network. In 2002 Asia-pacific conference on circuits and systems, APCCAS \u201902, (vol. 2, pp. 483\u2013486).","DOI":"10.1109\/APCCAS.2002.1115313"},{"key":"10.1016\/j.eswa.2008.09.052_bib30","doi-asserted-by":"crossref","unstructured":"\u00d6zdamar, \u00d6., Yaylali, I., Jayaker, P., & Lopez, C. N. (1991). Multilevel neural network system for EEG spike detection. In Computer-based medical systems, proceedings of the fourth annual IEEE symposium (pp. 272\u2013279).","DOI":"10.1109\/CBMS.1991.128979"},{"key":"10.1016\/j.eswa.2008.09.052_bib31","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1006\/cbmr.1998.1475","article-title":"Detection of spikes with artificial neural networks using raw EEG","volume":"31","author":"\u00d6zdamar","year":"1998","journal-title":"Computers and Biomedical Research"},{"issue":"4","key":"10.1016\/j.eswa.2008.09.052_bib32","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1109\/TBME.2003.809479","article-title":"A comparison of algorithms for detection of spikes in the electroencephalogram","volume":"50","author":"Pang","year":"2003","journal-title":"IEEE Transactions Biomedical Engineering"},{"issue":"4","key":"10.1016\/j.eswa.2008.09.052_bib33","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.patcog.2004.09.005","article-title":"Linear dimensionality reduction using relevance weighted LDA","volume":"38","author":"Tang","year":"2005","journal-title":"Pattern Recognition"},{"issue":"6","key":"10.1016\/j.eswa.2008.09.052_bib34","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1049\/ip-smt:19982328","article-title":"Identification of inter-ictal spikes in the EEG using neural network analysis","volume":"145","author":"Tarassenko","year":"1998","journal-title":"Institute of Electrical Engineering \u2013 Proceedings of the Science and Measurement Technology"},{"key":"10.1016\/j.eswa.2008.09.052_bib35","doi-asserted-by":"crossref","unstructured":"Tsukuda, Y., Kurokawa, H., & Mori, S. (1995). Investigation of generalization ability by using noise to enhance MLP performance. In Proceedings of the IEEE international conference on neural networks (vol. 5, pp. 2795\u20132798).","DOI":"10.1109\/ICNN.1995.488174"},{"key":"10.1016\/j.eswa.2008.09.052_bib36","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/0013-4694(94)90069-8","article-title":"Practical detection of epileptiform discharges (ED\u2019s) in the EEG using an artificial neural network: A comparison of raw and parameterized data","volume":"91","author":"Webber","year":"1994","journal-title":"Electroencephalography and Clinical Neurophysiology"},{"key":"10.1016\/j.eswa.2008.09.052_bib37","series-title":"Principal component analysis","author":"Wiskott","year":"2004"},{"key":"10.1016\/j.eswa.2008.09.052_bib38","unstructured":"Yu, C. C., & Liu, B. D. (2002). A backpropagation algorithm with adaptive learning rate and momentum coefficient. In Proceedings of the 2002 international joint conference, neural networks, IJCNN \u201902 (vol. 2, pp. 1218\u20131223)."},{"issue":"1","key":"10.1016\/j.eswa.2008.09.052_bib39","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1109\/72.977323","article-title":"A general backpropagation algorithm for feedforward Neural Networks learning","volume":"13","author":"Yu","year":"2002","journal-title":"IEEE Transactions on Neural Networks"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417408006817?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417408006817?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T07:48:31Z","timestamp":1557820111000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417408006817"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,5]]},"references-count":39,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2009,5]]}},"alternative-id":["S0957417408006817"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2008.09.052","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2009,5]]}}}