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Neural Networks Chris Hall Marius Francu
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An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems process information. Composed of a large number of highly interconnected processing elements that work in unison to solve specific problems. What are neural Networks?
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Derive meaning from complicated or imprecise data Adaptive learning. Fault Tolerance Why do we use neural networks?
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Biological Vs. Artificial Neurons Electoral – chemical communication Refraction period Physical length Nodes of Ranvier Myelin sheath Electrical communication No Refraction period Fire rate No “Physical” length No need for Nodes of Ranvier
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Biological Vs. Artificial Cont.
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Business Marketing Credit Evaluation Medicine Recognizing diseases from various scans Diagnosing the Cardiovascular System Instant Physician Security Motion detection Face tracking Games AI Applications of neural networks
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http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html http://tralvex.com/pub/nap/#Artifical%20Life:%20Galapagos http://www.willamette.edu/~gorr/classes/cs449/figs/unit.gif http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.artn.jpg http://factoidz.com/images/user/neuron.jpg Resources
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