neural networks


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neural networks

Artificial electronic or software systems that can simulate some of the neurological functions including a crude form of vision. In conjunction with expert software systems neural networks are expected to prove important in medicine in the future.
References in periodicals archive ?
Neural networks randomly divide data into training (in-sample) and a testing set (out-sample).
Since 1980 s, method of neural network was adopted into this field.
These are in particular the automation of procedures which create, train and evaluate neural networks as well as providing all necessary interfaces between the control system and the operating system in which the trained neural network is embedded.
Using of neural networks can improve the quality of predictors.
NEW YORK, December 23, 2010 /PRNewswire/ -- Elsevier, a world-leading publisher of scientific, technical and medical information products and solutions, is pleased to announce that Professor DeLiang Wang of The Ohio State University has accepted the position of Co-Editor-in-Chief of Neural Networks (http://www.
Composite materials technology; neural network applications.
Neural networks have become widely used in spatial analysis, including applications within the sub-fields of remote sensing (Civco 1993; Filippi and Jensen 2006), spatial interaction modeling (Black 1995; Fischer and Reismann 2002), cognitive mapping (Lloyd 2000, and visualization of geo-spatial data (Takatsuka 2001; Skupin and Hagelman 2005).
Reducing Computational Complexity in MPC with Neural Networks
Keywords: Pattern Classification, Fuzzy System, Artificial Neural Networks, Fuzzy Logic.
APPLICATION: Neural networks may be useful to help control moisture content and increase dryer efficiency.

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