Supervised Learning with Complex-valued Neural Networks (Record no. 45841)
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000 -LEADER | |
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fixed length control field | 03719nam a22004817a 4500 |
001 - CONTROL NUMBER | |
control field | sulb-eb0023749 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | BD-SySUS |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20160413122405.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 120727s2013 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783642294914 |
-- | 978-3-642-29491-4 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-3-642-29491-4 |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | Q342 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQ |
Source | bicssc |
Subject category code | COM004000 |
Source | bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Suresh, Sundaram. |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Supervised Learning with Complex-valued Neural Networks |
Medium | [electronic resource] / |
Statement of responsibility, etc. | by Sundaram Suresh, Narasimhan Sundararajan, Ramasamy Savitha. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Berlin, Heidelberg : |
Name of producer, publisher, distributor, manufacturer | Springer Berlin Heidelberg : |
-- | Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice | 2013. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XXII, 170 p. |
Other physical details | online resource. |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS | |
File type | text file |
Encoding format | |
Source | rda |
490 1# - SERIES STATEMENT | |
Series statement | Studies in Computational Intelligence, |
International Standard Serial Number | 1860-949X ; |
Volume/sequential designation | 421 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Introduction -- Fully Complex-valued Multi Layer Perceptron Networks -- Fully Complex-valued Radial Basis Function Networks -- Performance Study on Complex-valued Function Approximation Problems -- Circular Complex-valued Extreme Learning Machine Classifier -- Performance Study on Real-valued Classification Problems -- Complex-valued Self-regulatory Resource Allocation Network -- Conclusions and Scope for FutureWorks (CSRAN). |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Engineering. |
Topical term or geographic name as entry element | Computational intelligence. |
Topical term or geographic name as entry element | Engineering. |
Topical term or geographic name as entry element | Computational Intelligence. |
Topical term or geographic name as entry element | Signal, Image and Speech Processing. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Sundararajan, Narasimhan. |
Relator term | author. |
Personal name | Savitha, Ramasamy. |
Relator term | author. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783642294907 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Studies in Computational Intelligence, |
International Standard Serial Number | 1860-949X ; |
Volume number/sequential designation | 421 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://dx.doi.org/10.1007/978-3-642-29491-4">http://dx.doi.org/10.1007/978-3-642-29491-4</a> |
912 ## - | |
-- | ZDB-2-ENG |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type |
No items available.