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Pattern Recognition With Neural Networks In C


Author : Abhijit S. Pandya
language : en
Publisher: CRC Press
Release Date : 1995-10-17

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The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural network approaches within the same framework. Through the book's presentation of underlying theory and numerous practical examples, readers gain an understanding that will allow them to make judicious design choices rendering neural application predictable and effective. The book provides an intuitive explanation of each method for each network paradigm. This discussion is supported by a rigorous mathematical approach where necessary. C++ has emerged as a rich and descriptive means by which concepts, models, or algorithms can be precisely described. For many of the neural network models discussed, C++ programs are presented for the actual implementation. Pictorial diagrams and in-depth discussions explain each topic. Necessary derivative steps for the mathematical models are included so that readers can incorporate new ideas into their programs as the field advances with new developments. For each approach, the authors clearly state the known theoretical results, the known tendencies of the approach, and their recommendations for getting the best results from the method. The material covered in the book is accessible to working engineers with little or no explicit background in neural networks. However, the material is presented in sufficient depth so that those with prior knowledge will find this book beneficial. Pattern Recognition with Neural Networks in C++ is also suitable for courses in neural networks at an advanced undergraduate or graduate level. This book is valuable for academic as well as practical research.

Neural Networks For Pattern Recognition


Author : Christopher M. Bishop
language : en
Publisher: Oxford University Press
Release Date : 1995-11-23

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`Readers will emerge with a rigorous statistical grounding in the theory of how to construct and train neural networks in pattern recognition' New Scientist

Neural Networks In C


Author : Adam Blum
language : en
Publisher: Wiley
Release Date : 1992-06-04

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Neural Networks in C++ An Object-Oriented Framework for Building Connectionist Systems Extremely useful, this valuable guide concentrates on the practical side of building neural network applications. Written with a wealth of useful examples in C++, the book provides you with the nuts-and-bolts guidelines for hands-on development of real-world connectionist systems. Neural Networks in C++ also: Includes a complete C++ class library especially designed for neural network applications Fully covers three major application areas of neural network programming—image recognition, text processing, and forecasting Provides introductory material on neural networks Covers the basics on an object-oriented framework for connectionist systems

Signal And Image Processing With Neural Networks


Author : Timothy Masters
language : en
Publisher: Wiley
Release Date : 1994-07-25

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Download Signal And Image Processing With Neural Networks written by Timothy Masters and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-07-25 with Technology & Engineering categories.


The first book to offer practical applications of neural networks to solve problems in digital signal processing and imaging. A highly practical book with a minimum of math and a wealth of examples. Disk includes a complete program for training, testing, and using neural networks along with C++ subroutines for all techniques discussed and source for the book's example code.

Object Oriented Neural Networks In C


Author : Joey Rogers
language : en
Publisher: Morgan Kaufmann
Release Date : 1997

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This book/disk package provides the reader with a foundation from which any neural network architecture can be constructed. The author has employed object-oriented design and object-oriented programming concepts to develop a set of foundation neural network classes, and shows how these classes can be used to implement a variety of neural network architecture with a great deal of ease and flexibility.

An Introduction To Biological And Artificial Neural Networks For Pattern Recognition


Author : Steven K. Rogers
language : en
Publisher: SPIE Press
Release Date : 1991

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Pattern Recognition And Neural Networks


Author : Brian D. Ripley
language : en
Publisher: Cambridge University Press
Release Date : 2007

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Download Pattern Recognition And Neural Networks written by Brian D. Ripley and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.


Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings unifying principles to the fore, and reviews the state of the subject. Ripley also includes many examples to illustrate real problems in pattern recognition and how to overcome them.