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Applied Artificial Higher Order Neural Networks for Control and Recognition (Hardcover)

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This is the first book that introduces higher order neural networks (HONNs) to researchers and others working in the fields of control and recognition. HONNs are an open box neural networks tool comparable to traditional artificial neural networks. This book explains how HONNs can approximate any nonlinear data to any degree of accuracy, allowing researchers to understand why HONNs are much easier to use, and why they can have better nonlinear data recognition accuracy than SAS nonlinear (NLIN) procedures. It introduces HONN group models and adaptive HONNs, which can simulate not only nonlinear data, but also discontinuous and unsmooth nonlinear data. Eighteen chapters are divided into four sections: artificial higher order neural networks for control; artificial higher order neural networks for recognition; artificial higher order neural networks for simulation and prediction; artificial higher order neural network models and applications. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)
Number of Pages: 511.0
Genre: Computers + Internet
Sub-Genre: Artificial Intelligence, Computer Vision + Pattern Recognition, Neural Networks
Series Title: Advances in Computational Intelligence and Robotics
Format: Hardcover
Publisher: Igi Global
Language: English
Street Date: May 5, 2016
TCIN: 51289919
UPC: 9781522500636
Item Number (DPCI): 248-18-9457

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