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Supervised learning with complex-valued neural networks

著者: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
出版: Berlin ; New York : Springer, ©2013.
シリーズ: Studies in computational intelligence, 421.
エディション/フォーマット:   電子書籍 : Document : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
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  続きを読む
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ジャンル/形式: Electronic books
資料の種類: Document, インターネット資料
ドキュメントの種類: インターネットリソース, コンピューターファイル
すべての著者/寄与者: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
ISBN: 9783642294914 364229491X 3642294901 9783642294907
OCLC No.: 805398598
物理形態: 1 online resource.
コンテンツ: Introduction --
Fully Complex-valued Multi Layer Perceptron Networks --
A Fully Complex-valued Radial Basis Function Network and Its Learning Algorithm --
Fully Complex-valued Relaxation 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 (CSRAN).
シリーズタイトル: Studies in computational intelligence, 421.
責任者: Sundaram Suresh, Narasimhan Sundararajan, and Ramasamy Savitha.

概要:

A new generation of neural networks is needed in telecommunications, medical imaging and signal processing as signals become more complex and nonlinear. This survey of the latest complex-valued  続きを読む

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