CISC *7440X Pattern Recognition and Neural Networks

(Prior to Fall 2010, this course was known as CIS 734.
The information below might still reflect the old course numbers. Bracketed numbers, if any, are the old course numbers. Learn more...)

37 hours plus conference and independent work; 3 credits

Introduction to fundamental concepts and methods in pattern recognition. Statistical decision-theoretic techniques, cluster analysis, feature selection, and recognizing patterns with nonnumeric features. The generalized perceptron, feedforward multilayer neural networks, network associative memories, self-organizing neural networks for pattern recognition.

Prerequisite: Mathematics 7280X [607X] or one year of elementary calculus; Mathematics 6652X [652X] or a course in probability theory; and Computer and Information Science 7410X [716X] or a course in artificial intelligence.


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