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neural networks: Definition and Recommended Links

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An artificial neural network (ANN), often just called a 'neural network' (NN), is a mathematical model or computational model based on biological neural networks. It consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase.

In more practical terms neural networks are non-linear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data.

Source: Wikipedia (http://en.wikipedia.org/wiki/Artificial_neural_network)

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• • neural networks
    • An artificial neural network (ANN), often just called a 'neural network' (NN), is a mathematical model or computational model based on biological neural networks. It consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase.

      In more practical terms neural networks are non-linear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find patterns in data.

      Source: Wikipedia (http://en.wikipedia.org/wiki/Artificial_neural_network)

      (Note: The Electronic Engineers Toolbox provides an alternative set of featured links for this word at http://www.cera2.com/neural-networks.htm)

      Featured Links:

      comp.ai.neural-nets

      Usenet group devoted to neural nets.
      news:comp.ai.neural-nets

      Introduction to Neural Networks

      Our goal is to introduce students to a powerful class of model, the Neural Network. In fact, this is a broad term which includes many diverse models and approaches. We will first motivate networks by analogy to the brain. The analogy is loose, but serves to introduce the idea of parallel and distributed computation.
      http://www.idsia.ch/NNcourse/

      A Statistical Approach to Neural Networks for Pattern Recognition

      This book presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models, in a language that is familiar to practicing statisticians. Questions arise when statisticians are first confronted with such a model, and this book's aim is to provide thorough answers. The following are a few questions that are considered in this book and are explored: how robust is the model to...
      http://www.amazon.com

      Neural Network Resources

      Neural Network Resources page contains extensive information and numerous links to Software, Journals, Books, Societies, Databases, Newsgroups, Archives, E-Lists, etc. Resources are well organized, thoroughly catalogued and presented in easy-to-access manner with user friendly graphical interface.
      http://www.brain.riken.jp/labs/mns/geczy/Links-E.html

      Neural Net Components in an Object Oriented Class Structure

      The classes are all written in Java (JDK Version 1.0.2) and contain components of the Backpropagation Net and the Kohonen Feature Map neural network types.
      http://rfhs8012.fh-regensburg.de/~saj39122/jfroehl/diplom/e-index.html

      Neural Networks and Analog Computation : Beyond the Turing Limit

      The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple assemblies of basic processors interconnected in an intricate structure. Examining these networks under various resource constraints reveals a continuum of computational devices, several of which coincide with well-known classical models.
      http://www.amazon.com

      BUBL LINK - Neural Networks Links

      BUBL LINK's up-to-date list of links related to neural networks, equipped with detailed descriptions for each URL.
      http://bubl.ac.uk/link/n/neuralnetworks.htm

      Applying Neural Networks : A Practical Guide

      This book is designed to enable the reader to design and run a neural network-based project. It presents everything the reader will need to know to ensure the success of such a project. The book contains a free disk with C and C++ programs, which implement many of the techniques discussed in the book.
      http://www.amazon.com

      IEEE Neural Networks Council Home Page

      The purpose of the Council is to advance and coordinate work in the field of Neural Networks carried out throughout the IEEE and as such is exclusively scientific, literary and educational in character. In furtherance of the foregoing, the Council may publish appropriate periodicals, sponsor IEEE Neural Networks related conferences
      http://www.ieee-nns.org/

      Crash Introduction to Artificial Neural Networks

      Brief look into Artificial Neural Networks.
      http://ulcar.uml.edu/~iag/CS/Intro-to-ANN.html

      Explanation: these links are provided as part of our EE glossary project, which seeks to identify the most prominent keywords in embedded systems, embedded software, realtime and rtos, dsp (digital signal processing), system-on-a-chip, microprocessors and microcontrollers, and other constituent elements for embedded systems. While we seek to keep most of the links up-to-date, the user is refered to other primary electronic-based search sites such as: cera2.com, embedded.com, or EDN Magazine. If you have any suggestions of links or definitions, please email!

Mark Twain quote for the day:

You've got to admire men that deal in ideas of that size and can tote them around without crutches.
- Life on the Mississippi