Such systems promise much better performance than classical computers at pattern recognition and related areas. In this seminar, we will present several neural network models, introduce the current research activity, and develop some underlying mathematics. Students will have the opportunity to develop and present models, both paper and software simulated, and to utilize canned simulators. Students will be exposed to the current research literature. Programming projects will be required.
Genetic algorithms provide a powerful approach for searching large, ill-behaved problem spaces.
In this course, we will study the theoretical foundations of genetic algorithms as well as their application to a variety of search and optimization problems. Programming projects will be required. Current topics in the field. The format of this course is a combination lecture and seminar. Students may re- gister for this course more than once.