Supervised learning with complex-valued neural networks /
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Author / Creator: | Suresh, Sundaram. |
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Imprint: | Berlin ; New York : Springer, ©2013. |
Description: | 1 online resource. |
Language: | English |
Series: | Studies in computational intelligence, 1860-949X ; 421 Studies in computational intelligence ; 421. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11077137 |
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020 | |a 9783642294914 |q (electronic bk.) | ||
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035 | |a (OCoLC)805398598 |z (OCoLC)819425040 |z (OCoLC)985059385 | ||
050 | 4 | |a Q325.75 |b .S87 2013 | |
084 | |a 54.72 |2 bcl | ||
049 | |a MAIN | ||
100 | 1 | |a Suresh, Sundaram. |0 http://id.loc.gov/authorities/names/no2013003499 |1 http://viaf.org/viaf/306128526 | |
245 | 1 | 0 | |a Supervised learning with complex-valued neural networks / |c Sundaram Suresh, Narasimhan Sundararajan, and Ramasamy Savitha. |
260 | |a Berlin ; |a New York : |b Springer, |c ©2013. | ||
300 | |a 1 online resource. | ||
336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
337 | |a computer |b c |2 rdamedia |0 http://id.loc.gov/vocabulary/mediaTypes/c | ||
338 | |a online resource |b cr |2 rdacarrier |0 http://id.loc.gov/vocabulary/carriers/cr | ||
490 | 1 | |a Studies in computational intelligence, |x 1860-949X ; |v 421 | |
505 | 0 | 0 | |t Introduction -- |t Fully Complex-valued Multi Layer Perceptron Networks -- |t A Fully Complex-valued Radial Basis Function Network and Its Learning Algorithm -- |t Fully Complex-valued Relaxation Networks -- |t Performance Study on Complex-valued Function Approximation Problems -- |t Circular Complex-valued Extreme Learning Machine Classifier -- |t Performance Study on Real-valued Classification Problems -- |t Complex-valued Self-regulatory Resource Allocation Network (CSRAN). |
504 | |a Includes bibliographical references. | ||
520 | |a 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. | ||
650 | 0 | |a Supervised learning (Machine learning) |0 http://id.loc.gov/authorities/subjects/sh94008290 | |
650 | 0 | |a Neural networks (Computer science) |0 http://id.loc.gov/authorities/subjects/sh90001937 | |
650 | 7 | |a Ingénierie. |2 eclas | |
650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
650 | 7 | |a Supervised learning (Machine learning) |2 fast |0 (OCoLC)fst01139041 | |
653 | 4 | |a Engineering. | |
653 | 4 | |a Computational Intelligence. | |
653 | 4 | |a Signal, Image and Speech Processing. | |
655 | 4 | |a Electronic books. | |
700 | 1 | |a Sundararajan, Narasimhan. |0 http://id.loc.gov/authorities/names/no2013003514 |1 http://viaf.org/viaf/262186990 | |
700 | 1 | |a Savitha, Ramasamy. |1 http://viaf.org/viaf/1448159474072427660808 | |
830 | 0 | |a Studies in computational intelligence ; |v 421. | |
856 | 4 | 0 | |u http://link.springer.com/10.1007/978-3-642-29491-4 |y SpringerLink |
903 | |a HeVa | ||
929 | |a eresource | ||
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928 | |t Library of Congress classification |a Q325.75 .S87 2013 |l Online |c UC-FullText |u http://link.springer.com/10.1007/978-3-642-29491-4 |z SpringerLink |g ebooks |i 9887319 |