2011-2012 University Catalog 
  
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2011-2012 University Catalog

CS 771 - Neural Networks

Credits: 3 (NR)
Studies 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, discussed in terms of analytical characteristics and applications. Neural networks assessed as universal approximators. Connections to fuzzy approach established through the Radial Basis Function approach. Presents applications to perception, knowledge-based systems, and robotics.

Prerequisite(s): CS 688, or permission of instructor.

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