01893nam a2200253 a 4500001001400000003000700014005001700021008004100038020002900079020002600108040000800134100002700142245011600169260004500285300006700330490008400397504006300481520089300544650003901437650002301476650003001499700002601529830008401555vtls000052716KUKTEM20251117150339.0110411t2010    njuaf  f b    001 0 eng d  a9780471322702 (hardback)  a0471322709 (hardback)  aUMP1 aCirrincione, Giansalvo10aNeural based orthogonal data fitting :bthe EXIN neural networks /cGiansalvo Cirrincione, Maurizio Cirrincione  aHoboken, NJ :bJohn Wiley & Sons,cc2010  axviii, 243 p., [12] p. of plates :bill. (some col.) ;c25 cm.1 aAdaptive and learning systems for signal processing, communication, and control  aIncludes bibliographical references (p. 227-237) and index  aWritten by three leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all  endowed with a complete theory which not only explains their behavior, but also compares them with the existing neural and traditional algorithms. The algorithms are studied from different points of view, including: as a differential geometry problem, as a dynamic problem, as a stochastic problem, and as a numerical problem. All algorithms have also been analyzed on real time problems (large dimensional data matrices) and have shown accurate solutions. Where most books on the subject are dedicated to PCA (principal component analysis) and consider MCA (minor component analysis) as simply a consequence, this is the fist book to start from the MCA problem and arrive at important conclusions about the PCA problem."--cProvided by publisher 0aNeural networks (Computer science) 0aNumerical analysis 0aOrthogonalization methods1 aCirrincione, Maurizio 0aAdaptive and learning systems for signal processing, communication, and control