Chapter1 - EE4210 Neural Networks and Fuzzy Systems Dr K.W Wong Department of Electronic Engineering City University of Hong Kong

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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 s 70 % Final Examination s 30 % Coursework s Quiz 1 (4%) Week 4 s Quiz 2 (4%) Week 7 s Test (12%) Week 10 s Assignment (8%) Week 11 s 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 s Introduction to Neural Networks http://www.techonline.com/learning/course/100106 s Introduction to Fuzzy Control http://www.techonline.com/learning/course/100261 s 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: s recognizing a familiar face, s learning to speak and understand a natural language, s retrieving contextually appropriate information from memory.
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Chapter 1 --- Introduction 8 Goals of ANN Research 2. To develop cognitive models that can
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This note was uploaded on 04/13/2011 for the course EE 4210 taught by Professor Wong during the Spring '10 term at City University of Hong Kong.

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Chapter1 - EE4210 Neural Networks and Fuzzy Systems Dr K.W Wong Department of Electronic Engineering City University of Hong Kong

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