TITLE

neural network

PUB. DATE
April 2016
SOURCE
Computer Desktop Encyclopedia;Apr2016, p1
SOURCE TYPE
Encyclopedia
DOC. TYPE
Reference Entry
ABSTRACT
A modeling technique based on the observed behavior of biological neurons in the human brain. It consists of a set of elements that start out connected in a random pattern, and based upon operational feedback, are molded into the pattern required to generate the proper results. A common architecture in artificial intelligence (AI) applications, neural networks are used in robotics, diagnosing, forecasting, image processing and pattern recognition. See AI and deep learning.
ACCESSION #
114228405

 

Related Articles

  • What is a neural network? Wessner, Cecilia; O'Malley, Chris // Popular Science;Aug98, Vol. 253 Issue 2, p81 

    Describes neural networks. Techniques that neural networks use; Effects of neural network systems on humans; How neural networks are used.

  • Neural Networks. Denning, Peter J. // American Scientist;Sep/Oct92, Vol. 80 Issue 5, p426 

    Presents information on neural networks in computers. Concept behind neural networks; Origin of neural networks; Outlook on neural networks.

  • biological computing.  // Computer Desktop Encyclopedia;2015, p1 

    See neural network.

  • Short Term Energy Forecasting with Neural Networks. McMenamin, J. Stuart; Monforte, Frank A. // Energy Journal;1998, Vol. 19 Issue 4, p43 

    Provides information on artificial neural networks. Neural network specification and terminology; Estimation approaches for neural networks; Summary statistics and test statistics for neural networks.

  • Are Neural Networks Good For You? Gross, Daniel // Information Today;Nov1988, Vol. 5 Issue 10, p7 

    Comments on the advantages and disadvantages of neural networks. Information on how the neural network works; Basic element of the neural network; Applications of the neural network.

  • USING NEURAL NETWORKS TO COMPARE THEORETICAL MODELS: AN APPLICATION TO PERSUASIVE COMMUNICATIONS. Briesch, Richard A.; Iacobucci, Dawn // AMA Winter Educators' Conference Proceedings;1995, Vol. 6, p177 

    Describes the modeling technique of neural networks. Historical accounts of neural networks; Effectiveness of neural networks to data analysis; Importance of neural networks for consumer behavior researchers.

  • Building a better brain. Kirkwood, Craig // Australian Personal Computer;May98, Vol. 19 Issue 5, p99 

    Focuses on the technology associated with neural networks. Definition of neural networks; Information on how a neural network works; Indepth look at neural Internets. INSET: How to get your own neural network.

  • Consider the options. Woelfel, Joseph // Marketing Tools;Sep/Oct94, Vol. 1 Issue 7, p60 

    Focuses on the use of neural networks in marketing research. Limitations of conventional cluster analysis; Benefits of using neural networks; Application of the ORESME neural network.

  • Artificial intelligence for IOL calculations. Guttman, Cheryl // Ophthalmology Times;4/17/95, Vol. 20 Issue 16, p10 

    Discusses the use of neural networks to refine intraocular lens (IOL) calculations. Components of neural networks; Comparison with the Holladay formula; Accuracy of the neural networks.

  • Some assembly required. Hample, Scott // Marketing Tools;May96, Vol. 3 Issue 3, p66 

    Presents suggestions regarding the use of neural networks as a marketing tool. Tendency to view neural networks as a black box; Types of data handled by neural networks; Selection of a modeling technique; Weaknesses of a neural network.

Share

Read the Article

Courtesy of NEW JERSEY STATE LIBRARY

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics