{"title":"基于混合非线性优化算法的神经偶极子定位","authors":"Sheng Ye, Jie Hu","doi":"10.1109/ICMLC.2002.1167459","DOIUrl":null,"url":null,"abstract":"In the MEG inverse problem, the source localization procedure is to obtain dipole parameter solution that produces a calculated field pattern best matching the measured data. Here, a hybrid algorithm is described, i.e., Levenberg-Marquardt (LM) method for a fine scanning near the source area, and quasi-Newton (QN) method for a high-speed coarse scanning over a large area of the head. By a set of simulations, this presented algorithm can be more efficient both in computation time and sensitivity to the iterative initial value.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"43 6 1","pages":"1505-1506 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural dipole localization by a hybrid nonlinear optimization algorithm\",\"authors\":\"Sheng Ye, Jie Hu\",\"doi\":\"10.1109/ICMLC.2002.1167459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the MEG inverse problem, the source localization procedure is to obtain dipole parameter solution that produces a calculated field pattern best matching the measured data. Here, a hybrid algorithm is described, i.e., Levenberg-Marquardt (LM) method for a fine scanning near the source area, and quasi-Newton (QN) method for a high-speed coarse scanning over a large area of the head. By a set of simulations, this presented algorithm can be more efficient both in computation time and sensitivity to the iterative initial value.\",\"PeriodicalId\":90702,\"journal\":{\"name\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"volume\":\"43 6 1\",\"pages\":\"1505-1506 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2002.1167459\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1167459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural dipole localization by a hybrid nonlinear optimization algorithm
In the MEG inverse problem, the source localization procedure is to obtain dipole parameter solution that produces a calculated field pattern best matching the measured data. Here, a hybrid algorithm is described, i.e., Levenberg-Marquardt (LM) method for a fine scanning near the source area, and quasi-Newton (QN) method for a high-speed coarse scanning over a large area of the head. By a set of simulations, this presented algorithm can be more efficient both in computation time and sensitivity to the iterative initial value.
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