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IEEE Huntsville Section/ Computer Society Meeting |
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Subject: |
Overview of Neural Networks |
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Place: |
Piccadilly Cafeteria at Madison Square Mall |
Reservations: |
Please contact |
Abstract: Neural Networks have become part of our daily vocabulary. This overview class discusses their applications in forecasting linear and non-linear systems, classification, and pattern recognition. Advantages and disadvantages, as well as comparisons to expert systems and statistical analysis are covered. This lecture is an overview, covering many aspects of the subject, and as such is not highly technical.
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Biographical Sketch: Brad Morantz has a BS CIS/EE with research in active filter optimization. His MS is in Decision Science with research in dynamic learning neural networks. He will finish his PhD (in Decision Sciences with a minor in Computer Science) January 2002 (G-d willing). His thesis is on Autoregressive Time Series Forecasting using Neural Networks with Fuzzily Recent Data. The accent of his research is machine cognition. He has researched in various areas including defense, bio-medical engineering, automotive, and consumer electronics.
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Notes: 1.
We will eat from 2. The Piccadilly Cafeteria is located in the Madison Square Mall directly across from Ruby Tuesday Restaurant.
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Please Mark Your Calendar |
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