Neural Based Orthogonal Data Fitting is popular PDF and ePub book, written by Giansalvo Cirrincione in 2010-11-30, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Neural Based Orthogonal Data Fitting can be Read Online from any device for your convenience.
Neural Based Orthogonal Data Fitting Book PDF Summary
The presentation of a novel theory in orthogonal regression The literature about neural-based algorithms is often dedicatedto principal component analysis (PCA) and considers minor componentanalysis (MCA) a mere consequence. Breaking the mold,Neural-Based Orthogonal Data Fitting is the first book tostart with the MCA problem and arrive at important conclusionsabout the PCA problem. The book proposes several neural networks, all endowed with acomplete theory that not only explains their behavior, but alsocompares 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 adifferential geometry problem, a dynamic problem, a stochasticproblem, and a numerical problem. It demonstrates the novel aspectsof its main theory, including its applications in computer visionand linear system identification. The book shows both thederivation of the TLS EXIN from the MCA EXIN and the originalderivation, as well as: Shows TLS problems and gives a sketch of their history andapplications Presents MCA EXIN and compares it with the other existingapproaches Introduces the TLS EXIN neuron and the SCG and BFGS accelerationtechniques and compares them with TLS GAO Outlines the GeTLS EXIN theory for generalizing and unifying theregression problems Establishes the GeMCA theory, starting with the identificationof GeTLS EXIN as a generalization eigenvalue problem In dealing with mathematical and numerical aspects of EXINneurons, the book is mainly theoretical. All the algorithms,however, have been used in analyzing real-time problems and showaccurate solutions. Neural-Based Orthogonal Data Fitting isuseful for statisticians, applied mathematics experts, andengineers.
Detail Book of Neural Based Orthogonal Data Fitting PDF
- Author : Giansalvo Cirrincione
- Release : 30 November 2010
- Publisher : Wiley
- ISBN : 0471322709
- Genre : Mathematics
- Total Page : 288 pages
- Language : English
- PDF File Size : 10,9 Mb
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