CSH 410 - Honors Seminar in Neural Networks

Institution:

Capitol Technology University

Subject:

Description:

Basics of neural network computing, important neural network models such as Adaline, Perceptron, back propagation, self-organizing maps, Hopfield nets. Analysis and limitations of neural networks; programming neural networks using OOP. Eligibility requirements: Junior or Senior status with a 3.0 GPA or higher; good programming skills; knowledge of matrices and some multivariable calculus. Prerequisites: CS-130 or CT-251 with grade of B or better; Junior or senior status; Good programming skills, knowledge of matrices and some multivariable calculus.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.capitol-college.edu

Phone Number:

(301) 369-2800

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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