| Description
| Neural networks and fuzzy systems have demonstrated good characteristics, such as robustness, distributed knowledge representation, capable of handling uncertainties, etc. In this course, we shall introduce the basic theorems, important phenomena, analysis methods and tools, and some applications. Besides, we shall also introduce some recent development in research, new research topics, and some unsolved problems. The outline of this course is as follows. Introduction to Neural Networks, Feedforward networks and Supervised Learning, Unsupervised Learning Networks, Recurrent Neural Networks, Applications of Neural Networks, Concept of Fuzzy Sets, Fuzzy Relations, Fuzzy Logic and Approximate Reasoning, Fuzzy Logic Control and Neural Fuzzy Controllers.
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