Neural-Based Orthogonal Data Fitting: The EXIN Neural Networks (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

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keywords:data preparation for data mining,big data data mining,data integration in data mining,data preparation for data mining,big data data mining,

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.

keywords:data preparation for data mining,big data data mining,data integration in data mining,data preparation for data mining,big data data mining,

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eBook Details:
Category: Computer Science
Author: Giansalvo Cirrincione
Language: English
ISBN10: 0471322709
ISBN13: 9780471322702
Pages: 255
PubDate: 2010-11-30 00:00:00
UploadDate: 8/10/2013 12:09:18 pm

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