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Applied Neural Computing (COMPE 461) Course Details

Course Name: Applied Neural Computing
Code: COMPE 461
Pre-requisite Course(s): MATH275
Objective: This course has the objective to provide an introduction to neural network architectures, learning algorithms, and their applications.
Content: Introduction to neural networks. Perceptron learning rules. Backpropagation algorithms. Generalization and overtraining. Adaptive linear filters. Radial basis networks. Self organizing networks. Learning vector quantization. Recurrent Networks.
Term: Both
Theory: 2
Application: 2
Laboratory: 0
Credit: 3
Web:
ECTS Course File: Course File
Course File:
ECTS: 5