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  Neural Networks - World catalog

Contents  > Computers  > Artificial Intelligence  > Neural Networks

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  • Neural Network FAQ - This FAQ from comp.ai.neural-nets contains the most commonly asked questions about neural networks, including some great introductory material.

    Bibliographies on Neural Networks
    Part of the collection of computer science bibliographies.
    http://liinwww.ira.uka.de/bibliography/Neural/index.html
    Evolutionary Design of Neural Architectures
    A repository maintained by the Artificial Intelligence Research Group led by Vasant Honavar in the Department of Computer Science at Iowa State University.
    http://www.cs.iastate.edu/~gannadm/homepage.html
    Gaussian Processes
    A website keeping track of developments in Gaussian processes. Has links to online papers and their authors and software.
    http://www.cs.toronto.edu/~carl/gp.html
    Maximum Entropy Online Resources
    Workshops, tutorials, papers and software related to maximum entropy.
    http://omega.albany.edu:8008/maxent.html
    Neural Network Centers Around the World
    Collection of Neural Network resources sorted by topic.
    http://www.brain.riken.jp/labs/mns/geczy/Links-E.html
    Neuroinformatics
    A hub for the neuroinformatics community, with information on workshops and courses. Also hosts the comp-neuro mailing list.
    http://www.neuroinf.org/
    Principal Curves Page
    Introduction to principal curves, with summary of and links to publications, demo, and software.
    http://www.iro.umontreal.ca/~kegl/research/pcurves/
    Reinforcement Learning Repository
    A centralized resource for researchers of reinforcement learning. Maintained at University of Massachusetts, Amherst.
    http://www-anw.cs.umass.edu/rlr/
    Sumeet's neural networks listing
    Includes related fields like genetic algorithms, fuzzy logic, adaptive computing and complex systems and descriptions of each site.
    http://www.geocities.com/sumeet_gupta/neural.html
    Wikipedia: Neural Network
    Free encyclopedia article addressing the historical background, the learning paradigms and the different application areas.
    http://en.wikipedia.org/wiki/Neural_network

  • Usenet comp.ai.neural-nets - news:




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