- Lecturer
- Kosugi Yukio
- Place
- Tue7-8(G224)
- Credits
- Lecture2 Exercise0 Experiment0
- Code
- 83015
- Syllabus updated
- 2008/10/15
- Lecture notes updated
- 2008/10/15
- Semester
- Fall Semester
Outline of lecture
逾樒ｵ梧ｧ倡ｴ蟄舌°繧画ｧ区舌＆繧後ｋ諠蝣ｱ蜃ｦ逅繧ｷ繧ｹ繝繝縺ｮ讒区舌♀繧医ｳ迚ｹ蠕ｴ繧堤函菴薙す繧ｹ繝繝縺ｨ縺ｮ髢｢騾｣縺ｫ縺翫＞縺ｦ隲悶§繧九→縺ｨ繧ゅ↓ｼ後ル繝･繝ｼ繝ｩ繝ｫ繝阪ャ繝医Ρ繝ｼ繧ｯ繧堤畑縺縺溘Ο繝懊ャ繝亥宛蠕｡繧蛹ｻ逕ｨ繝繝ｼ繧ｿ蜃ｦ逅ｼ檎､ｾ莨壹す繧ｹ繝繝縺ｮ繝｢繝繝ｫ隗｣譫舌↑縺ｩｼ悟ｿ懃畑髱｢縺ｫ縺､縺縺ｦ繧りｧｦ繧後ｋ縲ゑｼ郁恭隱槭〒隰帷ｾｩｼ
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
Supplement
[Office Hours]
Thursday morning ; reservation mail: kosugiﾂｼpms.titech.ac.jp
