Sonar and Radar Signal Classification : Neural Network Based Approaches

Language: English

Published by LAP LAMBERT Academic Publishing, 2012

3847340174 / 9783847340171

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The use of neural networks in pattern classification is becoming increasingly widespread, with applications in signal processing areas such as signal detection and classification. In this book, the signals concerned include sonar and radar ionosphere databases from the research literature. These two data sets are intentionally chosen, because they contain high dimensionality, small sample sized problem and complex decision boundaries due to overlapping clusters. Learning from small sample sized dataset is typically a very difficult problem in the theory of complexity. It is a challenging task even for neural network. We have investigated the neural network based design of an optimal classifier and attempt is made to suggest suitable model by comparative analysis of the designed classifier for pattern classification on standard benchmark databases of sonar and radar ionosphere from the real world systems.…

Seller Inventory # 9783847340171

Title
Sonar and Radar Signal Classification : Neural Network Based Approaches
Author
Suresh Salankar
Publisher
LAP LAMBERT Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3847340174
ISBN 13
9783847340171
Item weight
227 grams
Dimensions
220x150x9 mm

AHA-BUCH GmbH

Einbeck, Germany

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