Multi layer neural networks for adaptive filtering applications다층 구조 신경회로망의 적응 필터링에의 응용에 대한 연구

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dc.contributor.advisorPark, Dong-Jo-
dc.contributor.advisor박동조-
dc.contributor.authorKim, Jeong-Hoon-
dc.contributor.author김정훈-
dc.date.accessioned2011-12-14T02:10:53Z-
dc.date.available2011-12-14T02:10:53Z-
dc.date.issued1992-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=59716&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/38909-
dc.description학위논문(석사) - 한국과학기술원 : 전기 및 전자공학과, 1992.2, [ iii, 51 p. ]-
dc.description.abstractA fast learning algorithm for a multi layer feedforward neural network is proposed in this thesis. The proposed learning algorithm, based on an innovative variable step size and gradient averaging, has excellent properties to overcome major drawbacks of backpropagation algorithm and shows fast convergence speed. Also in this thesis, a new non-linear echo canceller, combined linear-nonlinear transversal filter, using the multi layer perceptron and the linear adaptive filter is proposed. This new echo canceller shows fast convergence speed than other non-linear echo canceller and achieves desired cancellation of echo required for digital data transmission.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.titleMulti layer neural networks for adaptive filtering applications-
dc.title.alternative다층 구조 신경회로망의 적응 필터링에의 응용에 대한 연구-
dc.typeThesis(Master)-
dc.identifier.CNRN59716/325007-
dc.description.department한국과학기술원 : 전기 및 전자공학과, -
dc.identifier.uid000901110-
dc.contributor.localauthorPark, Dong-Jo-
dc.contributor.localauthor박동조-
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EE-Theses_Master(석사논문)
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