(References)
(References)
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* http://uhaweb.hartford.edu/compsci/neural-networks-tutorial.html
 
* http://uhaweb.hartford.edu/compsci/neural-networks-tutorial.html
 
* http://www.mathworks.com/products/demos/nnettlbx/probabilistic/
 
* http://www.mathworks.com/products/demos/nnettlbx/probabilistic/
* http://www.dsi.unifi.it/ANNPR/CR/23.pdf
+
* [http://www.dsi.unifi.it/ANNPR/CR/23.pdf Probabilistic Neural Network]
 
* An Implementation of Neural Network: [http://www.rgu.ac.uk/files/chapter3%20-%20bp.pdf Back Propagation Algorithm]
 
* An Implementation of Neural Network: [http://www.rgu.ac.uk/files/chapter3%20-%20bp.pdf Back Propagation Algorithm]

Revision as of 16:17, 30 March 2008

This page and its subtopics discusses everything about Artificial Neural Networks.

Lectures discussing Artificial Neural Networks: Lecture 13_Old Kiwi and Lecture 14_Old Kiwi

Helpful in-depth lecture slides regarding ANN: link

References

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva