CS 5300 - Artificial Neural Systems

Institution:

Western Michigan University

Subject:

Description:

An introduction to neural net concepts, algorithms, and applications. A history of neural nets will be presented along with some discussion of models of Biological neural systems. The salient features of neural nets (architecture, activation functions, weighting scheme) will be characterized. Standard algorithms will be presented including Hopfield nets, linear associative mode bidirectional associative memories, and adaptive resonance models. The student will use neural net software to experiment with standard models to develop an application for a project. Prerequisites & Corequisites: Prerequisite: CS 3310. Notes: An introductory statistics course is recommended. Credits: 3 hours

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.wmich.edu

Phone Number:

(269) 387-1000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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