Table of Contents:

最新消息	General Info	Text and References
Syllabus	Weekly Schedule	Homework/Scores
Final Project	Application Examples	Supplementary Material
Internet Resources	MATLAB 線上中文手冊	MATLAB Demos
Others

• Final projects listing
• 記得要填 評分表 喔！ It's available until June 16 midnight.
• Template HTML project report is here
• 2/21上課地點改在128

• Course number: CS5611
• Credits: 3
• Course title: 模糊集理論及應用 (Fuzzy Set Theory and Applications)
• Instructor: 張智星 (Tel: 5742796, 資電館444室, jang@cs.nthu.edu.tw)
• TA: 張懷源 (Tel: 3530, 資電館634室, mr844309@cs.nthu.edu.tw)
• Prerequisites: Calculus, Linear Algegra, Probability
• Required computer skills: DOS/UNIX/MS-Windows, MATLAB
• Grading policy:
  • 4-5 homeworks: 50% or so
  • Final project: 50% or so

• Textbooks:
  • Neuro-Fuzzy and Soft Computing by J.-S. R. Jang, C.-T. Sun, and E. Mizutani
    Slides for the book:
    • Chapter 2: Fuzzy Sets ( Powerpoint file , or HTML version )
    • Chapter 3: Fuzzy Rules and Fuzzy Reasoning ( Powerpoint file , or HTML version )
    • My tutorial at the Asian Fuzzy Systems Symposium. This set of slides contains a lot of material from the book.
• Reference books:
  • MATLAB 線上中文手冊 by Jang
    
  • MATLAB Primer by Sigmon
    Old version (for MATLAB 3.5) of this book is available on-line: tex or postscript file.
  • Numerical Analysis and Graphics Visualization with MATLAB by Nakamura

Time \ Day	Tue.	Wed.	Thu.	Fri.
10:10~11:00		Office hour at 444		Lecture at 224
11:10~12:00		Office hour at 444		Office hour at 444
13:10~14:00
14:10~15:00
14:10~15:00
15:10~16:00	Lecture at 224
16:10~17:00	Lecture at 224

Homework/Scores:

• Homework:
  • Homework 1: due back on Feb. 25
    
  • Homework 2: due back on Mar. 21
    
  • Homework 3: due back on April. 15
    
  • Homework 4: due back on May. 2
    
• HW scores (Please contact TA if you have questions about HW scores.)

Final Project:

• Template HTML report
• Project presentation: schedule and grading sheet
• Potential topics: (Green parts are replaceable)
  • Clustering:
    • Fuzzy C-Means for Image Data Compression
    • Fuzzy C-Shell Clustering: Implementation and Applications
    • Fuzzy C-Seans and Hard C-Means Clustering: A Comparative Studies
  • Data Modeling:
    • Fuzzy Modeling for Wine Classification
    • Fuzzy Modeling for Automobile MPG Prediction
    • Fuzzy Modeling for Stock Market Time Series Prediction
  • Control and System ID:
    • Fuzzy Modeling for Dynamical Systems
    • Adaptive Fuzzy Control for an Inverted Pendulum Systems
    • Fuzzy Control for Anti-Skid Brake Systems
  • Derivative-Free Optimization:
    • Applying Random Search for Fuzzy Modeling, with application to Speaker Recognition
    • Random Search for Traveling Salesperson Problem
    • Meta Optimization for Random Search
• Some tools you might need for your project:
  • word2html: ftp://ftp.nctu.edu.tw/msdownload/taiwan/office_ia_chinese/word/wrdia20z.exe
    (此軟體可將 WORD 檔案轉成 HTML 檔案)
  • Paint Shop Pro 4.11 beta (for PC): ftp://ftp.tku.edu.tw/pc/win95/graphics/psp411b.exe
    (使用其中的 capture 功能就可以捉取螢幕上的任何畫面)
    
• If you don't know where to find appropriate datasets for your project, try the following sites:
  • UCI Machine Learning Repository
  • Working Group on Data Modeling Benchmarks, Standards Committee, IEEE Neural Network Council
  • Time Series Repository
  • Face Detection Dataset
  • DELVE Dataset
  • Information Exploration Shootout

Application Examples:

• Link to Aptronix to see their homepage and FuzzyJava Controller.
• Aptronix's FuzzyNet and some applications notes:
  • Fuzzy washing machine
  • Camera autofocus
  • Servo motor force control
  • glass Melting Furnace Control
  • Air conditioner control
  • Reactor control
  • Automobile automatic transmissions
  • Fuzzy automated manufacturing
  • Disc Spindle servos
  • Two stage inverted pendulum
• Some other fuzzy companies and products:
  • SieFuzzy
  • OrTech
• Skin Cancer Diagnosis Using Hierarchial Neural Networks and Fuzzy Logic: A complete hypertext copy of Hsi-Chieh Lee's 1994 thesis on skin cancer diagnostic techniques.

Supplementary material:

Internet Resources:

• Neural networks: comp.ai.neural-nets and FAQ
• Fuzzy logic: comp.ai.fuzzy and FAQ
• Genetic algorithms: comp.ai.genetic and FAQ
• MATLAB and SIMULINK: comp.soft-sys.matlab and FAQ
• More about neuro-fuzzy and soft computing

Others:

• Student information form
• Midtern evaluation form
  

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