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Supervised Learning with Complex-valued Neural Networks (Hardcover, 2013 ed.) Loot Price: R3,490
Discovery Miles 34 900
You Save: R569 (14%)
Supervised Learning with Complex-valued Neural Networks (Hardcover, 2013 ed.): Sundaram Suresh, Narasimhan Sundararajan,...

Supervised Learning with Complex-valued Neural Networks (Hardcover, 2013 ed.)

Sundaram Suresh, Narasimhan Sundararajan, Ramasamy Savitha

Series: Studies in Computational Intelligence, 421

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List price R4,059 Loot Price R3,490 Discovery Miles 34 900 | Repayment Terms: R327 pm x 12* You Save R569 (14%)

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Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks. Furthermore, to efficiently preserve the physical characteristics of these complex-valued signals, it is important to develop complex-valued neural networks and derive their learning algorithms to represent these signals at every step of the learning process. This monograph comprises a collection of new supervised learning algorithms along with novel architectures for complex-valued neural networks. The concepts of meta-cognition equipped with a self-regulated learning have been known to be the best human learning strategy. In this monograph, the principles of meta-cognition have been introduced for complex-valued neural networks in both the batch and sequential learning modes. For applications where the computation time of the training process is critical, a fast learning complex-valued neural network called as a fully complex-valued relaxation network along with its learning algorithm has been presented. The presence of orthogonal decision boundaries helps complex-valued neural networks to outperform real-valued networks in performing classification tasks. This aspect has been highlighted. The performances of various complex-valued neural networks are evaluated on a set of benchmark and real-world function approximation and real-valued classification problems.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 421
Release date: July 2012
First published: 2013
Authors: Sundaram Suresh • Narasimhan Sundararajan • Ramasamy Savitha
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Hardcover
Pages: 170
Edition: 2013 ed.
ISBN-13: 978-3-642-29490-7
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-642-29490-1
Barcode: 9783642294907

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