Neural Networks:
See also:
- Artificial Intelligence: Belief Networks
- Artificial Intelligence: Machine Learning
- Artificial Intelligence: Vision
- Artificial Life
- Health: Medicine: Medical Specialties: Neurology
- Science: Biology: Neurobiology
- Science: Math: Statistics: Bayesian Analysis
- Science: Social Sciences: Cognitive Science
- Science: Social Sciences: Psychology: Neuropsychology
- Science: Technology: Electronics: Signal Processing
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.
David E. Rumelhart Prize - An annual award for contributions to the formal analysis of human cognition.
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.
Gaussian Processes - A website keeping track of developments in Gaussian processes. Has links to online papers and their authors and software.
Maximum Entropy Online Resources - Workshops, tutorials, papers and software related to maximum entropy.
Neural Network Centers Around the World - Collection of Neural Network resources sorted by topic.
Neuroinformatics - A hub for the neuroinformatics community, with information on workshops and courses. Also hosts the comp-neuro mailing list.
Principal Curves Page - Introduction to principal curves, with summary of and links to publications, demo, and software.
Reinforcement Learning Repository - A centralized resource for researchers of reinforcement learning. Maintained at University of Massachusetts, Amherst.
Sumeet's neural networks listing - Includes related fields like genetic algorithms, fuzzy logic, adaptive computing and complex systems and descriptions of each site.
Wikipedia: Neural Network - Free encyclopedia article addressing the historical background, the learning paradigms and the different application areas.
Neural Networks
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