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年度:100年 訪問日期: 2012-03-13
姓名:林志民 教授 職稱:元智大學電機系教授
訪問單位(學校):元智大學電機系教授 接待單位:電機學院
活動說明:演講
memo:
【教學卓越計畫5-1演講】Development of Cerebellar Model Neural Networks and their Applications on Control, Signal Processing, and Image Classification 演講主題:Development of Cerebellar Model Neural Networks and their Applications on Control, Signal Processing, and Image Classification 摘要: Based on biological prototype of human brain and improved understanding of the functionality of the neurons and the pattern of their interconnections in the brain, a theoretical model used to explain the information-processing characteristics of the cerebellum was developed independently by Marr (1969) and Albus (1971). Cerebellar model neural network (CMNN) was first proposed by Albus in 1974. CMNN is a learning structure that imitates the organization and functionality of the cerebellum of the human brain. That model revealed the structure and functionality of the various cells and fibers in the cerebellum. The core of CMNN is an associative memory which has the ability to approach complex nonlinear functions. CMNN takes advantage of the input-redundancy by using distributed storage and can learn nonlinear functions extremely quickly due to the on-line adjustment of its system parameters. CMNN is classified as a non-fully connected perceptron-like associative memory network with overlapping receptive-fields. It has good generalization capability and fast learning property and is suitable for a lot of applications. This speech will introduce several new CMNN-based adaptive learning systems proposed by me; these systems combine the advantages of CMNN identification, adaptive learning, control technique, signal processing and image classification. In these systems, the on-line parameter training methodologies, using the Lyapunov theorem, are proposed to guarantee the stability and convergence of these systems. Moreover, the applications of these systems in nonlinear systems control, biped robot control, signal processing of communication system, and computer-aided diagnosis of breast nodules are demonstrated. 對象:歡迎全校師生參與 演講者: 林志民 教授 元智大學電機工程學系 特聘教授 專業經歷: 1997-Present元智大學電機系教授 2002-2008元智大學電機系教授兼系主任/所長 2000-2008元智大學製技系主任 1993-1996元智大學電機工程系副教授 1986-1992中山科學研究院副研究員 研究領域:模糊控制、類神經網路、小腦模型網路、控制理論 主持人: 國立臺北大學電機資訊學院院長 沈榮麟教授 時 間: 2012/03/13 (二)12:00-14:00 地 點: 社科大樓8F07

 

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