Artificial Neural Networks

Course Nos. ECE.09.560 (Grad), ECE.09.454 (Senior Elective)
Fall 2010

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    Meeting Times and Place:

    Mondays  4:45 - 7:15 PM
    Rowan Hall 204/206

    Course Description:

    Artificial neural networks covers the design of popular neural network architectures and their contemporary engineering applications. Neural network architectures that will be studied in detail include the multilayer perceptron, radial basis function and the Hopfield networks. State-of-the-art software will be used for network design. VLSI implementations of neural networks will be discussed. 

    Semester Hours: 3

    Prerequisites: Math for Engineering Analysis II, Linear Algebra or consent of instructor.

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