ECE 09454 - Introduction to Artificial Neural Networks

Institution:

Rowan University

Subject:

Description:

Prerequisites: MATH 01210 or MATH 01236 This course covers the design of a variety 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.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.rowan.edu

Phone Number:

(856) 256-4000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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