chapter1 - EE4210 Neural Networks and Fuzzy Systems Dr K.W...

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1 EE4210 Neural Networks and Fuzzy Systems Dr. K.W. Wong Department of Electronic Engineering City University of Hong Kong [email protected] FYW6320 Ext: 9409
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2 Chapter 1 --- Introduction 2 Course Objectives 1. Introduce the fundamental theories of artificial neural networks (ANN) and fuzzy logic. 2. Apply ANN and fuzzy systems to model and solve practical problems such as recognition and adaptive control
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3 Chapter 1 --- Introduction 3 Brief Outline of Syllabus 1. Fundamentals of Artificial Neural Networks (ANN) 2. Learning 3. Perceptron 4. Multilayer Perceptron / Backpropagation Training Algorithm 5. Recurrent Networks --- Hopfield Network 6. Self-organizing Networks 7. Basic Fuzzy Logic Theory 8. Fuzzy Associative Memory (FAM)
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4 Chapter 1 --- Introduction 4 Assessment square6 70 % Final Examination square6 30 % Coursework square6 Quiz 1 (4%) Week 4 square6 Quiz 2 (4%) Week 7 square6 Test (12%) Week 10 square6 Assignment (8%) Week 11 square6 Answers to Tutorial Questions (2%)
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5 Chapter 1 --- Introduction 5 References 1. S. Haykin, Neural Networks: A Comphrehensive Foundation , 2 nd Edition, Prentice Hall (1999) 2. B. Kosko, Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence , Prentice Hall (1992) 3. S. Kumar, Neural Networks: A Classroom Approach, McGraw Hill (2005). 4. L. Fausett, Fundamentals of Neural Networks: Architectures, Algorithms, and Applications , Prentice Hall (1994) 5. J.M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems , Prentice-Hall (2001).
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6 Chapter 1 --- Introduction 6 Supplementary On-line Lectures square6 Introduction to Neural Networks http://www.techonline.com/learning/course/100106 square6 Introduction to Fuzzy Control http://www.techonline.com/learning/course/100261 square6 Need to register at TechOnline website first http://www.techonline.com/
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7 Chapter 1 --- Introduction 7 Goals of ANN Research 1. To build a new type of computer to solve a variety of problems that are proving to be difficult with conventional digital computers. Examples of such cognitive tasks are: square6 recognizing a familiar face, square6 learning to speak and understand a natural language, square6 retrieving contextually appropriate information from memory.
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8 Chapter 1 --- Introduction 8 Goals of ANN Research 2.
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