CS 152 Reference Links

• Contests
  • Mus silicium

• Short Tutorials
  • Mind and Machine
  • Intro
  • Geometric ApproachBasic Intro.
  • Adaptive Filters
  • Character Recognition
  • An Introduction to Neural Networks (Leslie Smith)
  • Artificial Neural Networks Technology
  • Reinforcement Learning
  • Reinforcement Learning (2)
  • Spatio-Temporal Networks (Stefan C. Kremer)
  • GRNN (General Regression Neural Networks)
  • Notes by Roland Spencer
  • Birth of a Learning Law (Stephen Grossberg)
  • Unsupervised Learning
  • Conditioning
  • Kohonen Nets
  • Hopfield Networks
  • Autoassociative Networks
  • Blurbs on various topics and applications
  • Boltzmann Machines
  • Cellular Automata
  • Pattern Recognition for HCI
  • Pattern recognition and neural networks
  • Fuzzy Logic and Fuzzy Control
  • Pattern Recognition for HCI

• Surveys
  • Neural Nets (Kevin Gurney)
  • Reinforcement Learning
  • Probabilistic Models for Unsupervised Learning
  • Information Theory, Pattern Recognition and Neural Networks (David McKay)
  • Machine Learning, Neural and Statistical Classification (D. Michie, D.J. Spiegelhalter, C.C. Taylor, eds.)

• Lecture Notes
  • Artificial Neural Networks
  • The Neural Basis of Thought and Language (Jerome Feldman)
  • Introduction to Neural Networks (Nici Schraudolph and Fred Cummins)
  • Pattern Recognition
  • Artificial Neural Networks: An introductory course (Anthony Zaknich)

• Applications
  • ALVINN
  • Datamining and Machine Learning
  • Forecasting applications
  • Glove Talk
  • Mining for Personal Profiles (uses Elman Network)
  • NeuroSolutions Applications Corner
  • Pyrolysis Mass Spectrometry (University of Wales)
  • RBF applied to Color Image Classification
  • Support Vector Machines applied to Speech Pattern Classification
  • Financial Forecasting in Financial Markets
  • Auto-Associative Networks
  • Market Analysis
  • Information Retrieval
  • Automatic Subject Indexing
  • Inverse Protein Folding
  • Papers on Combinatorial OptimzationAn Introduction to Pattern Recognition: Statistical, Neural Net and Syntactic methods of getting robots to see and hear
  • Handwriting Recognition Using a Neural Network Character Classifier
  • Computer Vision, Stereo Matching using Hopfield Network
  • The Science of Audio Based Brainwave Entrainment
  • Boltzmann applications
  • Neurocomputing in Geography
  • A Comparison of Classification in Artificial Intelligence, Induction versus Neural Networks
  • Self-Adaptive 3-D Reconstruction from Binocular Vision using a Blind Source Separation Approach
  • Applications Links

• Backpropagation
  • Backpropagator's Review (Donald Tveter)
  • Function approximation
  • Multi-layer Perceptron
  • What Size Neural Network Gives Optimal Generalization? Convergence Properties of Backpropagation

• Recurrent Networks
  • Bibliography
  • Elman Networks
  • Phoneme Recognition
  • Recurrent Nets and Motor Learning
  • Synthesis of Cascade Recurrent Neural Networks Using Feedforward Generalization Properties
  • Barry Kalman's home page
  • Turing Machines are Recurrent Neural Networks (Heikki Hyötyniemi)
  • Papers by Ronald J. Williams
  • The DRAMA Architecture
  • The use of recurrent neural networks in continuous speech recognition
  • Phoneme Recognition using Recurrent Neural Networks

• Hopfield Networks
  • The Hopfield Network: Descent on an Energy Surface
  • Neurodynamics
  • Approximating Maximum Clique with a Hopfield Network
  • Worked Example
  • Brain-State-in-a-Box (BSB)

• Competitive Learning and Self-Organizing Maps
  • Clustering Demo
  • 1D Kohonen map
  • 2D Kohonen map
  • Another 2D Kohonen map
  • 3D Kohonen map
  • 3D Kohonen map
  • SOM, 2 demos (0D, neighborhood 1 & 2D)
  • SOM
  • Bayesian SOM
  • GNG Competitive Learning Models
  • Elastic Net TSP
  • Travelling Salesman Problem
  • Temporal Plasticity in Self-Organizing Networks
  • Knowledge Discovery With the SOM
  • A New Look at Seeing
  • Bayesian SOM's

• PCA (Principal Component Analysis)
  • 2D PCA Demo
  • PCA Demo
  • Stock Index Demo

• ICA (Independent Component Analysis)
  • Bell's ICA page
  • Makieg's page (with FAQs)
  • James Miskin's page

• Demos
  • Simulated Annealing Demo
  • Do-it-yourself Hopfield Network
  • Hopfield Net Applet
  • Hopfield Net Demo
  • Hopfield Net DemoHopfield Network: Memory Recall
  • Eight Queens using Hopfield Net
  • Associative Memory Simulator (Hopfield, OLAM, etc.)
  • Necker Cube application of Boltzmann Machine
  • Function Approximation
  • Image Compression using Backprop
  • Perceptron and others
  • Netlab (Aston University)
  • Dave Touretzky Demos
  • Exact Representations and other demos
  • Hamming Net
  • Voronoi Diagram
  • Support Vector Machine
  • Handwriting recognition (explanation: Multi-State TDNN)
  • Convolutional Neural Networks (LeCun OCR)

• Biological
  • The Nervous System
  • Neuroimaging and letter recognition
  • Functional development: maturation of networks
  • Physics of the Brain
  • Dynamics of neural networks
  • Brainwaves and brain wiring
  • Perceptual Adaptations

• Adaptive Filters
  • ASU Audio demo
  • Eric Wan demo
  • Adaptive Filters (LMS, RLS, variants)

• Backpropagation
  • XOR Backprop

• Character Recognition
  • NeuroChar - Noisy character recognition
  • Ochre (Optical Character Recognition in Java)

• Control
  • Ball-Balancing
  • Evolving Neural ControllersPole-balancing
  • Pole-balancing
  • Incremental neuro-fuzzy systems

• ART Networks
  • ART FAQ

• Games
  • Backgammon
  • Blackjack (using Reinforcement Learning)
  • Go (using Temporal Differences)
  • Machine Learning in Games index
  • NeuralBots and Quake2
  • NeuroChess
  • NeuroTetris
  • Othello
  • Robotic Soccer

• Radial Basis Function Networks (RBFs)
  • Introduction
  • Fast learning with incremental RBF networks (B. Fritzke)
  • Mobile Multimedia Research Group (University of Southampton)
  • Links from ANC

• Robotics
  • Pole-balancing robot

• Time Series
  • Biomedical Time-Series
  • Time-Series Forecasting
  • Time Series Forecasting with Neural Networks
  • Time-Series Prediction of Foreign Exchange Rates
  • Time Series Prediction with Neural Nets
  • Time Series Prediction using SOM's

• Reinforcement Learning
  • Neuro-Evolution

• Temporal Difference Method
  • Temporal Difference Learning and TD-Gammon
  • Sutton's Temporal Difference paper, and others
  • Temporal Difference Simulator (Matlab)
  • Temporal Difference Learning and TD-Gammon (Gerald Tesauro)
  • Overview of TD-Gammon

• Fuzzy Logic
  • Fuzzy Truck-Backer Demo
  • Inverted Pendulum Demo
  • Application to Molecular Modeling

• FAQs
  • comp.ai.neural-nets
  • Neural Net FAQ
  • ART
  • Bayesian methods
  • Data Analysis
  • Fuzzy Logic

• Math
  • Data Analysis BriefBook

• Code
  • Hopfield network (Matlab)
  • CMU Matlab
  • Various Matlab codes
  • Neural Java
  • Neurosolutions models
  • lens (Light, Efficient Network Simulator)
  • Links to Non-Commercial Software
  • PDP++
  • Sutton & Barto book, Reinforcement learning
  • Mathtools.net
  • UCSD Archive
  • Shareware
  • Neural Networking Software
  • Neural network Software
  • Portable AI Laboratory
  • Neural Networks at your Fingertips
  • Freeware tools
  • Shareware
  • Links
  • UTCS Neural Net Software
  • David MacKay
  • Xerion (U. of Toronto)
  • Linux Software Encyclopedia

• Matlab
  • Function documentation
  • Activation Functions
  • Intro. to Neural Network ToolboxNN Toolbox documentation
  • NetLab (Aston University)

• Papers
  • A collectoin of downloadable papers on various topics
  • Natural Language Learning by Recurrent Neural Networks
  • Turing Machines are Recurrent Neural Networks

• Labs & Centers
  • ANC (Adaptive & Neural Computation) at University of Edinburgh
  • Aston University NCRG (Neural Computing Research Group)
  • Boston University Center for Adaptive Systems
  • Caltechn Computation and Neural Systems
  • Centre for Neural and Adaptive Systems (University of Plymouth)
  • CSBMB (Center for the Study of Brain, Mind, and Behavior (Princeton))CICA (Indiana University)
  • CNBC (Center for the Neural Basis of Cognition) (CMU)
  • Emergent Learning Research Group (NTT)
  • genetic-programming.org
  • Hopfield Group (Princeton)
  • IEEE Neural Network Council
  • IlliGAL
  • Lund Observator Sweden
  • Navlab
  • Neural Networks & Fuzzy Logic Group (FORWISS)
  • Neural Networks Research Center, Helsinki University of Technology
  • NEuroNet
  • Neural Theory of Language
  • PNL (Pacific Northwest National Laboratory)

• Data
  • BU Data
  • CMU AI Repository
  • NetTalk
  • Santa Fe Time Series Data
  • UCI machine-learning databases

• Pages of Links
  • Brain wave links
  • Hopfield's links
  • NRC-CNRC Institute for Information Technology
  • Andres Perez-Uribe
  • Yahoo links
  • Pattern Recognition Links
  • Reinforcement Learning and Autonomous Robots
  • Fuzzy Logic (PC AI)
  • Fuzzy Sets and Systems
  • More Links
  • Face Recognition

• Bibliographies
  • Bibliographies on Neural Networks
  • Gaussian Processes

• Neurocomputing People
  • Charles W. Anderson
  • Andrew G. Barto
  • Carlos Brody
  • Stephen Grossberg
  • Geoffrey Hinton
  • Geoffrey Hinton
  • John Hopfield
  • Michael I. Jordan
  • Stuart Kauffman
  • Teuvo Kohonen
  • Bart Kosko
  • S.Y. Kung
  • Todd K. Leen
  • Lori Pratt
  • Terrence J. Sejnowski
  • Richard S. Sutton
  • Gerald Tesauro
  • Eric A. Wan
  • Andreas Weigend
  • Bernard Widrow
  • MANTRA links

• Genetic Algorithm/Programming
  • Biological Applications
  • Evolutionary Computing Demo System
  • Genetic Algorithm
  • Genetic Programming Notebook
  • Symbolic regression using genetic programming
  • Manna Mouse (GA demo)
  • Truck-Backer
  • lil-gp

• Commercial
  • Attrasoft(Hopfield and Boltzmann nets)
  • Statistica

• Miscellaneous
  • Cellulear Automata

• Possible Future Reference
  • STANN (Self-Training Artificial Neural Network)
  • ZISC (Zero Instruction Set Computer)
  • Learning Dynamical Systems
  • Recognising Spoken Words from Lip Movement
  • The Analog/Digital Distinction in the Philosophy of Mind
  • Pulsed Neural VLSI