ELEC ENG 368 - Introduction To Neural Networks & Applications

Institution:

Missouri University of Science and Technology

Subject:

Electrical Engineering

Description:

Introduction to artificial neural network architectures, adaline, madaline, back propagation, BAM, and Hopfield memory, counterpropagation networks, self organizing maps, adaptive resonance theory, are the topics covered. Students experiment with the use of artificial neural networks in engineering through semester projects. Prerequisite: Math 229 or Math 204 or equivalent. (Co-listed with Sys Eng 378)

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.mst.edu/

Phone Number:

(573) 341-4111

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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