Téléchargez le livre : Neural-Based Orthogonal Data Fitting

Neural-Based Orthogonal Data Fitting

The EXIN Neural Networks de

,

Éditeur :

Wiley


Collection :

Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Paru le : 2011-04-06

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Description

The presentation of a novel theory in orthogonal regression
The literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence. Breaking the mold, Neural-Based Orthogonal Data Fitting is the first book to start with the MCA problem and arrive at important conclusions about the PCA problem.
The book proposes several neural networks, all endowed with a complete theory that not only explains their behavior, but also compares them with the existing neural and traditional algorithms. EXIN neurons, which are of the authors' invention, are introduced, explained, and analyzed. Further, it studies the algorithms as a differential geometry problem, a dynamic problem, a stochastic problem, and a numerical problem. It demonstrates the novel aspects of its main theory, including its applications in computer vision and linear system identification. The book shows both the derivation of the TLS EXIN from the MCA EXIN and the original derivation, as well as: Shows TLS problems and gives a sketch of their history and applications Presents MCA EXIN and compares it with the other existing approaches Introduces the TLS EXIN neuron and the SCG and BFGS acceleration techniques and compares them with TLS GAO Outlines the GeTLS EXIN theory for generalizing and unifying the regression problems Establishes the GeMCA theory, starting with the identification of GeTLS EXIN as a generalization eigenvalue problem
In dealing with mathematical and numerical aspects of EXIN neurons, the book is mainly theoretical. All the algorithms, however, have been used in analyzing real-time problems and show accurate solutions. Neural-Based Orthogonal Data Fitting is useful for statisticians, applied mathematics experts, and engineers.
Pages
276 pages
Collection
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Parution
2011-04-06
Marque
Wiley
EAN papier
9780471322702
EAN PDF
9780470638279
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
276
Taille du fichier
5376 Ko
Prix
112,83 €
EAN EPUB
9781118097748
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
276
Taille du fichier
14838 Ko
Prix
112,83 €

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