Pattern Recognition Using Neural Networks by Looney

Pattern Recognition Using Neural Networks by Looney

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.

This is a fairly comprehensive introduction to feedforward neutral networks..the book is accessible and would be well-suited to serve as a text for its intended audience Short Book Review Vol. 17 No. 3 '... makes its subject easy to understand by offering intuitive explanations and examples... lives up to its claim as a practical neural network text and will be an excellent resource for those who want to implement neural networks, rather than just learn the theory.' Scientific Computing World, September 1997

SKU	Unavailable
ISBN 13	9780195079203
ISBN 10	0195079205
Title	Pattern Recognition Using Neural Networks
Author	Looney
Condition	Unavailable
Binding Type	Hardback
Publisher	Oxford University Press Inc
Year published	1997-02-20
Number of pages	480
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.