Neural Networks

Fall, 2002
Instructor: Berlin Chen

Schedule:
9/25     Preliminaries: Introduction to Neural Networks  
 
10/3     Fundamental Concepts and Models of Artificial Neural Systems
           
             Homework -1: P2.16  (Due: 10/17)

10/17   Discussion on “Mapping the Mind”

10/24   Discussion on “Mapping the Mind”

             Single-layer Perceptron Classifiers

             Homework-2: P3.1  (Due: 10/31)

10/31   Single-layer Perceptron Classifiers

             Homework-3: P3.5, P3.7, P3.9, P3.22  (Due: 11/21)

11/14   Multilayer Feedforward Networks

             Project 1: Document Classification (Due: 11/28)

　

11/28   Self-Organizing Networks (I)

12/5     Self-Organizing Networks (II)    

12/12   Associative Memories (I)

            Homework-4: P7.9, P7.21  (Due: 12/26)

12/19   Journal Paper Presentation (I)

12/26   Journal Paper Presentation (II)

1/2       Journal Paper Presentation (II)

1/9       Feature Extraction Dimension Reduction  (New: 1/9)

1/16      Final Examination  

   

Textbook:
     1.   J. M. Zurada, "Introduction to Artificial Neural Systems," West Publishing Company, 1992

References:
    1.   Simon Haykin, "Neural Networks: a comprehensive foundation, second edition, " Prentice Hall, 1999
     2. 蘇木春、張孝德，機器學習：類神經網路、模糊系統以及基因演算法則，全華科技圖書股份有限公司
     3. 拉蒙卡哈，研究科學的第一步 — 給年輕探索者的建議，究竟出版社
     4. Rita Carter, “Mapping the Mind”。 洪蘭譯， 大腦的秘密檔案，遠流出版社
    

Grading:
     1. Final Exam: 25%
     2. Homework: 35%
     3. Project:20%
     4. Presentation/Report: 20%
     5. Attendance: +5%