■授業内容と方法 |
In this class, we shall understand, fuzzy theory for skillfully processing unclear information, artificial neural network simulated for the function of the human brain, genetic algorithm by the evolution of the organism. And the understanding of the computer system which rationally carries out judgment and decision making of the human could be studied.
The topic concerning the intelligent system is taken up, and subjacent technology and application are discussed. Every time, two students in an attending the lecture introduce references and papers. Moreover, all participants have a discussion for the announcement theme.
|
■達成目標 |
This course is designed to equip students to design Intelligent systems in the area of engineering systems.
|
■評価基準と評価方法 |
The evaluation is synthetically performed by short test of 3 times and term examination of 1 time are made to be 80% and presentation attitude and discussion content are made to be 20%.
|
■履修条件 |
Basic NN-Fuzzy, Matlab
|
■授業計画 |
No.01 Introduction to Hybrid Artificial Intelligence Systems No.02 Foundations of Fuzzy Approaches No.03 Fuzzy Relations No.04 Short Examination No.05 Fuzzy Numbers No.06 Linguistic Descriptions and Their Analytical Forms No.07 Fuzzy Control No.08 Short Examination No.09 Foundations of Neural Networks No.10 Backpropagation and Related Training Algorithms No.11 Competitive, Associative, and Other Special Neural Networks No.12 Short Examination No.13 Practical Aspects of Using Neural Networks No.14 Fuzzy Methods in Neural Networks No.15 Neural Methods in Fuzzy Systems No.16 Final Examination
|
■事前・事後学習 |
|
■教科書 |
ISBN |
|
■参考書 |
ISBN |
Artificial Intelligence, Nils J. Nilsson, - Morgan Kaufmann -
|
1558605355 |
|
■備考(メッセージ) |
|
■オフィスアワー |
Wed. : 10:00-12:00
|
■メールアドレス |
kang@ie.u-ryukyu.ac.jp
|
■URL |
www.webclass.u-ryukyu.ac.jp
|