690 Design of self-organizing
neural networks
hardware and software issues
Course Description
This course discusses advanced concepts of self-organizing neural networks
- that is networks of elemental processors interconnected like their biological
models. Neural-net implementations of pattern recognition algorithms provide
important, practical advantages by allowing fast realization of parallel,
iterative procedures. Operations of neural networks will be developed and
used for different neural functions. An example self-organizing neural
system simulating biological systems will be examined. The emphais in this
course is on development of the concept of self-organizing neural system
with locally interconnected processing components. Students will
simulate neural networks for patter recognition and classification using
PC software tools.
Sylabus
Schedule
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