朝陽科技大學 097學年度第1學期教學大綱
Neural Networks and Its Applications 類神經網路

當期課號 7785 Course Number 7785
授課教師 劉啟東 Instructor LIU,CHII TUNG
中文課名 類神經網路 Course Name Neural Networks and Its Applications
開課單位 資訊工程系碩士在職專班一A Department  
修習別 選修 Required/Elective Elective
學分數 3 Credits 3
課程目標 Fundamental concepts and models of artificial neural systems Single-layer perception classifiers Multilayer feedforward networks Associative memories Matching and self-organizing networks Applications of neural algorithms and systems Neural networks implementation Objectives Fundamental concepts and models of artificial neural systems Single-layer perception classifiers Multilayer feedforward networks Associative memories Matching and self-organizing networks Applications of neural algorithms and systems Neural networks implementation
教材 Slide Teaching Materials Slide
成績評量方式 期末project40%，作業30%，論文報告30% Grading project 40%, homework 30%,presentation 30%
教師網頁  
教學內容 Introduction Perceptron Widrow-Hoff Learning Backpropagation Associative Learning Competitive Networks Adaptive Resonance Theory (ART) Hopfield Network Recurrent Neural Networks Syllabus Introduction Perceptron Widrow-Hoff Learning Backpropagation Associative Learning Competitive Networks Adaptive Resonance Theory (ART) Hopfield Network Recurrent Neural Networks
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