Course Discription |
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Introduction to artificial intelligence, knowledge representation and reasoning, intelligent agents, problem solving and searching. Expert systems. Natural language processing. Overview of neuro-engineering technology; basic neural network architectures and algorithms; feedforward and feedback networks; supervised and unsupervised learning; learning by punish/reward; applications of neural networks. Exercises using MATLAB. |