2009-2010 University Catalog 
  
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2009-2010 University Catalog

IT 817 - Neural Networks

Credits: 3
Cross-Listed with CS 817

Study of adaptive and competitive principles using distributed and parallel computation. Topics include background from statistics, control, adaptive signal processing, and neurosciences. Basic models, such as those suggested by Grossberg, Hopfield, and Kohonen, are discussed in terms of analytical characteristics and applications. Neural networks assessed as universal approximators. Presents connections to fuzzy approach established through radial basis function approach. Presents applications to perception, knowledge-based systems, and robotics.

Prerequisites
CS 688, or permission of instructor.

Hours of Lecture or Seminar per week
3
Hours of Lab or Studio per week
0