1997, ISBN: 0195079205

[EAN: 9780195079203], New book, [SC: 30.11], [PU: Oxford University Press, USA, New York], Hardcover. Pattern Recognition Using Neural Networks covers traditional linear pattern recogniti… mais…

[EAN: 9780195079203], New book, [SC: 30.11], [PU: Oxford University Press, USA, New York], Hardcover. Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach and pie-in-the-sky hyperbole of many books on neural networks. It covers the standard decision-theoretic pattern recognition of clustering via minimum distance, graphical and structural methods, and Bayesian discrimination. Pattern recognizers evolve across the sections into perceptrons, a layer of perceptrons, multiple-layered perceptrons, functional link nets, and radial basis function networks. Other networks covered in the process are learning vector quantization networks, self-organizing maps, and recursive neural networks. Backpropagation is derived in complete detail for one and two hidden layers for both unipolar and bipolar sigmoid activation functions. The more efficient fullpropagation, quickpropagation, cascade correlation, and various methods such as strategic search, conjugate gradients, and genetic algorithms are described. Advanced methods are also described, including the full training algorithms for radial basis function networks and random vector functional link nets, as well as competitive learning networks and fuzzy clustering algorithms. Special topics covered include: feature engineering data engineering neural engineering of network architectures validation and verification of the trained networks This textbook is ideally suited for a senior undergraduate or graduate course in pattern recognition or neural networks for students in computer science, electrical engineering, and computer engineering. It is also a useful reference and resource for researchers and professionals. Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach and pie-in-the-sky hyperbole of many books on neural networks. It covers the standard decision-theoretic pattern recognition of clustering via minimum distance, graphical and structural methods, and Bayesian discrimination. Pattern recognizers evolve across the sections into perceptrons, a layer of perceptrons, multiple-layered perceptrons, functional link nets, and radial basis function networks. Other networks covered in the process are learning vector quantization networks, self-organizing maps, and recursive neural networks. Backpropagation is derived in complete detail for one and two hidden layers for both unipolar and bipolar sigmoid activation functions. The more efficient fullpropagation, quickpropagation, cascade correlation, and various methods such as strategic search, conjugate gradients, and genetic algorithms are described. Advanced methods are also described, including the full-training algorithms for radial basis function networks and random vector functional link nets, as well as competitive learning networks and fuzzy clustering algorithms. This textbook is ideally suited for a senior undergraduate or graduate course in pattern recognition or neural networks for students in computer science, electrical engineering, and computer engineering. It is also a useful reference and resource for researchers and professionals. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability., Books<

1997, ISBN: 9780195079203

Edição encadernada

Oxford University Press, Hardcover, Auflage: 1, 480 Seiten, Publiziert: 1997-02-20T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 9780195079203, 1.02 kg, Verkaufsrang: 4413608, Certifica… mais…

Oxford University Press, Hardcover, Auflage: 1, 480 Seiten, Publiziert: 1997-02-20T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 9780195079203, 1.02 kg, Verkaufsrang: 4413608, Certification, Computers & Technology, Subjects, Books, Intelligence & Semantics, AI & Machine Learning, Computer Science, Neural Networks, Computer Vision & Pattern Recognition, Data Processing, Databases & Big Data, Linguistics, Words, Language & Grammar, Reference, Artificial Intelligence, New, Used & Rental Textbooks, Specialty Boutique, Humanities, Certification Central, Specialty Stores, 5edb3046-f9c1-4621-85f5-a4f7c2464a28_7001, 5edb3046-f9c1-4621-85f5-a4f7c2464a28_0, Arborist Merchandising Root, Oxford University Press, 1997<

1997, ISBN: 0195079205

[EAN: 9780195079203], New book, [SC: 3.35], [PU: Clarendon Press], pp. 480, Books