EGEE 529 - Principles of Neural Systems--Electrical Engineering

Institution:

California State University-Fullerton

Subject:

Description:

Description: Prerequisites: EGEE 310 and 409. Principles of neural systems and their hardware implementation. Basic properties, discrete and continuous bidirectional associative memories. Temporal associative memories. Neural nets classifiers, perceptrons, supervised and unsupervised learning. Forward and backward propagation. Electrical models of neural networks using op-amp., analog VLSI. Units: 3

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.fullerton.edu

Phone Number:

(657) 278-2011

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Semester

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