- Lecturer
- Kosugi Yukio
- Place
- Tue7-8(G512)
- Credits
- Lecture2 Exercise0 Experiment0
- Code
- 83015
- Syllabus updated
- 2012/9/21
- Lecture notes updated
- 2012/9/21
- Semester
- Fall Semester
Purpose of lecture
To give a deeper understanding on artificial and biological neural network systems.
Plan of lecture
1. Introduction
2. Neurophysiological Background
3. Biological Memories and Associative Memories
4. Supervised Learning Models
5. Back-Propagation for Inverse Problems
6. Unsupervised Learning and Self-Organization
7. Efficiency Evaluation of Neural Systems
8. Multi-Network Systems
9. Applications in Sociology, Mechanics and Medicine
10. Neuroethology and Network Realization
Textbook and reference
Original Prints in English
Evaluation
Report in English
