| ■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.
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| ■達成目標 |
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This course is designed to equip students to design Intelligent systems in the area of engineering systems.
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| ■評価基準と評価方法 |
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Evaluation is performed by the presentation, discussion contents, the attendance situation.
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| ■履修条件 |
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Basic NN-Fuzzy, Matlab
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| ■授業計画 |
第1回目 Introduction to Hybrid Artificial Intelligence Systems
第2回目 Foundations of Fuzzy Approaches
第3回目 Fuzzy Relations
第4回目 Fuzzy Numbers
第5回目 Linguistic Descriptions and Their Analytical Forms
第6回目 Fuzzy Control
第7回目 Foundations of Neural Networks
第8回目 Backpropagation and Related Training Algorithms
第9回目 Competitive, Associative, and Other Special Neural Networks
第10回目 Dynamic Systems and Neural Control
第11回目 Practical Aspects of Using Neural Networks
第12回目 Fuzzy Methods in Neural Networks
第13回目 Neural Methods in Fuzzy Systems
第14回目 Genetic Algorithms
第15回目 Conclusion
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| ■事前・事後学習 |
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| ■教科書 |
ISBN |
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| ■参考書 |
ISBN |
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Artificial Intelligence, Nils J. Nilsson, - Morgan Kaufmann -
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1558605355 |
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| ■備考(メッセージ) |
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| ■オフィスアワー |
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Wed. : 10:00-12:00
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| ■メールアドレス |
kang@ie.u-ryukyu.ac.jp
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| ■URL |
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www.webclass.u-ryukyu.ac.jp
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