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| | Artificial neural network - Wikipedia, the free encyclopedia |
 | | An artificial neural network (ANN), also called a simulated neural network (SNN) or commonly just neural network (NN) is an interconnected group of artificial neurons that uses a mathematical or computational model for information processing based on a connectionist approach to computation. |  | | Neural network software is used to simulate, research, develop and apply artificial neural networks, biological neural networks and in some cases a wider array of adaptive systems. |  | | A neural network is an interconnected group of nodes, akin to the vast network of neurons in the human brain. |
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http://en.wikipedia.org/wiki/Artificial_neural_network
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| | Neural Networks Introduction |
 | | Neural networks have been shown to be particularly useful in solving problems where traditional artificial intelligence techniques involving symbolic methods have failed or proved inefficient. |  | | For the network to represent the XOR function, the inputs (1,1) and (0,0), with sums (wl+W2) and 0, must produce outputs on one side, while the inputs (1,0) and (0,1), with sums wl and w2, must produce outputs on the other side. |  | | Neural networks have been applied to a wide variety of different areas including speech synthesis, pattern recognition, diagnostic problems, medical illnesses, robotic control and computer vision. |
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http://uhavax.hartford.edu/compsci/neural-networks-tutorial.html
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| | Neural Networks Software |
 | | Neural networks are modelled after the brain (not necessarily a human brain) and provide the learning algorythm that does not require any knowkedges of the formulas for the process being researched, instead, it is based on the familiarity and pattern recognition. |  | | The Cortex neural networks software is feature limited, however you can use even a free version to solve many practical tasks. |  | | The Cortex neural networks software can be used to create the neural networks, that can become part of the custom data mining tools. |
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http://cortex.snowseed.com/cortex.htm
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| | Sumeet Gupta's Neural Network Page |
 | | Lausanne (EPFL) - Centre for Neural Computation : Research on neural networks with spiking neurons, computational neuroscience, and neurocontrollers for robotic agents. |  | | Aston - Neural Computing Research Group : Research on the theory and applications of neural networks and related techniques. |  | | Northwestern - Neural Information Processing Laboratory : Interdisciplinary research on artificial neural networks and their use in elucidating the functions of the animal brain, especially the motor system, and utilizing biological control principles to design dexterous machines. |
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http://www.geocities.com/sumeet_gupta/neural.html
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| | PC AI - Neural Nets |
 | | Neural networks can differ on: the way their neurons are connected; the specific kinds of computations their neurons do; the way they transmit patterns of activity throughout the network; and the way they learn including their learning rate. |  | | In general, neural networks are well suited to problems that people are good at solving, but for which computers generally are not. |  | | The company was established in 1988 and is a pioneer in the development of neural network and genetic algorithm software. |
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http://www.pcai.com/web/ai_info/neural_nets.html
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| | Neural Networks & Connectionist Systems |
 | | Rather, we are simulating, on a computer, what we understand about neural networks in the brain. |  | | After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values." From CISpace -Tools for Learning Computational Intelligence: "Here are some applets that are designed as tools for learning and exploring concepts in artificial intelligence. |  | | The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform 'intelligent' tasks similar to those performed by the human brain. |
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http://www.aaai.org/aitopics/html/neural.html
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| | Neural networks |
 | | Neural networks in detection of anomalous activity in computer networks |  | | The destination of the program is a research of neural nets, though it can be used for classification and prediction. |  | | Mathematics and software (neural networks, genetic algorithms, fuzzy logic) are exposed at ukrainian site. |
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http://www.orc.ru/~stasson/neuroe.html
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| | Introduction to Neural Networks |
 | | Neural networks are a new method of programming computers. |  | | Programs that employ neural nets are also capable of learning on their own and adapting to changing conditions. |  | | They are exceptionally good at performing pattern recognition and other tasks that are very dificult to program using conventional techniques. |
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http://vv.carleton.ca/~neil/neural/neuron.html
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| | comp.ai.neural-nets FAQ, Part 1 of 7: Introduction |
 | | a neural network is a system composed of many simple processing elements operating in parallel whose function is determined by network structure, connection strengths, and the processing performed at computing elements or nodes. |  | | While neural nets are often defined in terms of their algorithms or implementations, statistical methods are usually defined in terms of their results. |  | | Pineda, F.J. (1989), "Recurrent back-propagation and the dynamical approach to neural computation," Neural Computation, 1, 161-172. |
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http://www.faqs.org/faqs/ai-faq/neural-nets/part1
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| | An Introduction to Neural Networks |
 | | Neural networks are a form of multiprocessor computer system, with |  | | Neural Networks are a different paradigm for computing: |  | | Existing neural network (and indeed other soft computing) systems are generally software models for solving static problems on PCs. |
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http://www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html
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| | Neural Network Forecasting ... all you need to know! |
 | | We seek to unite information on neural network forecasting, spread across various disciplines of intelligent time series analysis and time series prediction with neural nets, intelligent demand planning in Operations Management, predictive analytics and temporal data mining using computational intelligence and theoretical research on neural networks in artificial intelligence. |  | | We have collected a range of neural network software programs suitable to simulating neural networks for forecasting applications in regression and classification. |  | | As these webpages are something of a neural forecasting FAQ, reading list and a summary of the state of the art, we try to avoid duplicating of information on general neural network issues that is already found in the excellent NN FAQ at SAS Institute by W.S. Sarle |
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http://www.neural-forecasting.com
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| | Neural Networks |
 | | Neural network analysis is a form of regression or classification modelling which can help resolve these difficulties whilst striving for longer term solutions. |  | | -n)+1], which is a neural network of two inputs x and y, with four hidden units. |  | | Representation of material properties in finite element analysis using neural networks. |
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http://www.msm.cam.ac.uk/phase-trans/abstracts/neural.review.html
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| | Neural Networks |
 | | Adaptive computation and neural networks are technologies that cross several divisions at Los Alamos. |  | | This discussion introduces the techniques of neural networks, powerful analytical tools used by Z Solutions, LLC to solve a variety of problems. |  | | There are a number of projects in control and pattern extraction that are being workied on in the Simulation and Adaptive Computation Section of the Applied Theoretical Physics Division. |
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http://www.geneticprogramming.com/AI/nn.html
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| | Topic: areas/neural/ |
 | | R. Lippmann, "Review of Neural Networks for Speech Recognition", Neural Computation, 1(1):1-38, 1989. |  | | [Comparison of free neural network simulators on a backpropagation OCR task.] Rumelhart, D.E, and McClelland, J.L., editors, "Parallel Distributed Processing: Explorations in the Microstructure of Cognition" (Vol. |  | | Hertz, J., Krogh, A., and Palmer, R.G., "Introduction to the Theory of Neural Computation", Addison-Wesley, 1991. |
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http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/neural/0.html
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| | Neural Networks |
 | | Neural computing is a new concept in computing which originally emerged from studies carried out by scientists interested in modelling the structure and operation of the human brain. |  | | Neural Networks are interesting for quite a lot of very dissimilar people: Computer scientists want to find out about the properties of non-symbolic information processing with neural nets and about learning systems in general. |  | | Neural Logic Networks - A New Class of Neural Networks by Hoon-Heng Teh (NUS) This book is the first of a series of technical reports of a key research project of the Real-World Computing Program supported by the MITI of Japan. |
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http://www.aridolan.com/ad/adb/NN.html
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| | BUBL LINK: Neural networks |
 | | Guide to research groups, conferences, journals, and publishers in the areas of artificial intelligence, cognitive science, psychology and linguistics, neural networks, neurosciences, genetic programming, artificial life, robotics, and agent modelling and vision. |  | | Peer-reviewed journal which publishes articles in areas of neural computing, cognitive science, and artificial intelligence. |  | | An interdisciplinary journal dealing with artificial intelligence and its applications, cognitive science, brain models, artificial neural nets and their applications, and the social context of intelligent systems. |
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http://bubl.ac.uk/link/n/neuralnetworks.htm
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| | Machine Learning and Neural Networks Group Homepage |
 | | TC3 - Neural Networks and Computational Intelligence: Technical Committee of the IAPR |  | | Related Sites on Neural Networks and Machine Learning |  | | Ph.D positions available at Machine Learning and Neural Networks Group [link] |
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http://www.dsi.unifi.it/neural
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| | Cellular Neural Networks |
 | | Cellular Neural Networks (CNN) is a massive parallel computing paradigm defined in discrete N-dimensional spaces. |  | | Cellular Neural Networks: modelling and applications (University of Catania, Italy). |  | | Performance Optimization in Cellular Neural Networks and Associated VLSI Architectures |
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http://www.ce.unipr.it/pardis/CNN/cnn.html
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| | Introduction to Neural Networks |
 | | Our goal is to introduce students to a powerful class of model, the Neural Network. |  | | We then introduce one kind of network in detail: the feedforward network trained by backpropagation of error. |  | | We will first motivate networks by analogy to the brain. |
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http://www.willamette.edu/~gorr/classes/cs449/intro.html
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| | Artificial Intelligence Depot |
 | | Neural networks, genetic algorithms, reinforcement learning and more! |  | | Learn how to create smart creatures in computer games that learn and react to their environment. |  | | Nerves of Silicon: Neural Chips Eyed for Brain Repair |
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http://www.ai-depot.com
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| | Bibliographies on Neural Networks |
 | | Bibliography on genetic algorithms, neural networks and their combination |  | | Bibliography on Invariant Pattern Recognition with Neural Networks |  | | Bibliography of the Neural Network Group at IDIAP |
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http://liinwww.ira.uka.de/bibliography/Neural
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| | Neural Networks Research Group |
 | | Risto Miikkulainen and is located at the Department of Computer Sciences at the University of Texas at Austin. |  | | The book is accompanied by the Topographica software package for general modeling of computational maps. |  | | This book, co-authored by Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, and Joseph Sirosh, and published by Springer in Fall 2005, reviews 18 years of research by the UTCS Neural Networks Research Group on modeling the visual cortex. |
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http://nn.cs.utexas.edu
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| | Munro Neural Net Page |
 | | Neural Computing Research Group at Bristol University (UK) |  | | SANS - Studies of Artificial Neural Systems, Royal Institute of Technology (Sweden) |  | | Carnegie Mellon's Autonomous Land Vehicle In a Neural Network (USA) |
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http://www.pitt.edu/~pwm/nn.html
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| | Artificial Neural Networks Technology - TOC |
 | | 6.0 How Artificial Neural Networks Are Being Used |  | | 2.6 How Neural Networks Differ from Traditional Computing and Expert Systems |  | | 4.0 Detailed Description of Neural Network Components and How They Work |
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http://www.dacs.dtic.mil/techs/neural/neural_ToC.html
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| | Neil's Neural Nets |
 | | BrainBox - Neural network construction set (version 1.8). |  | | Last summer I taught a workshop on neural networks for the |  | | A Windows program that allows one to play with neurons. |
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http://www.virtualventures.ca/~neil/neural
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| | Neural Networks Research Center |
 | | The research of the CIS laboratory is conducted within two Centres of Excellence: the Neural Networks Research Center (1995-2005) and the From Data to Knowledge Research Unit (2002-2007). |  | | Please, see the separate pages of the Pattern Discovery group of the From Data to Knowledge Research Unit. |
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http://www.cis.hut.fi/research
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| | IEEE Computational Intelligence Society |
 | | PublicationsWelcome from the Vice President for PublicationsPublications CommitteeElectronic LetterIEEE Computational Intelligence MagazineIEEE Transactions on Neural NetworksIEEE Transactions on Fuzzy SystemsIEEE Transactions on Evolutionary ComputationIEEE/ACM Transactions on Computational Biology and BioinformaticsIEEE Transactions on NanoBioscienceIEEE Transactions on NanotechnologyIEEE Press Books - Computational Intelligence SeriesIEEE XploreReportsGet Involved |  | | Most recent table of contents and full papers in PDF format (requires IEEE Web Account) |  | | Resubmission Review Form (for use by solicited reviewers only) |
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http://www.ieee-nns.org/pubs/tnn
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| | Neural Nets by Kevin Gurney |
 | | This book has been written in the same spirit as the notes in that basic concepts, techniques and ideas are given priority over lengthy mathematical proofs and technical detail. |  | | However, the book contains a significant increase in material, including sections on ART, RBFs, PCA, digital nodes, alternative views of network function, applications etc. It has also revised those areas which were not as clear as they might have been (my own opinion plus feedback from users of the notes). |  | | In addition, it contains many more diagrams to aid explanation and has expanded several existing sections in order to provide `hooks' into more advanced material, thereby enabling readers to progress further (This has necessitated including many more references to the literature - a glaring omission in the notes). |
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http://www.shef.ac.uk/psychology/gurney/notes
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