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Pattern Recognition with Neural Networks in C++

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Author :
Release : 1995-10-17
Genre : Computers
Kind : eBook
Book Rating : 621/5 ( reviews)

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Book Synopsis Pattern Recognition with Neural Networks in C++ by : Abhijit S. Pandya

Download or read book Pattern Recognition with Neural Networks in C++ written by Abhijit S. Pandya. This book was released on 1995-10-17. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pattern Recognition with Neural Networks in C++

Download Pattern Recognition with Neural Networks in C++ PDF Online Free

Author :
Release : 2020-10-12
Genre : Computers
Kind : eBook
Book Rating : 214/5 ( reviews)

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Book Synopsis Pattern Recognition with Neural Networks in C++ by : Abhijit S. Pandya

Download or read book Pattern Recognition with Neural Networks in C++ written by Abhijit S. Pandya. This book was released on 2020-10-12. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Pattern Recognition and Neural Networks

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Author :
Release : 2007
Genre : Computers
Kind : eBook
Book Rating : 700/5 ( reviews)

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Book Synopsis Pattern Recognition and Neural Networks by : Brian D. Ripley

Download or read book Pattern Recognition and Neural Networks written by Brian D. Ripley. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

Neural Networks for Pattern Recognition

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Author :
Release : 1995-11-23
Genre : Computers
Kind : eBook
Book Rating : 642/5 ( reviews)

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Book Synopsis Neural Networks for Pattern Recognition by : Christopher M. Bishop

Download or read book Neural Networks for Pattern Recognition written by Christopher M. Bishop. This book was released on 1995-11-23. Available in PDF, EPUB and Kindle. Book excerpt: Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.

Pattern Recognition Using Neural Networks

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Author :
Release : 1997
Genre : Computers
Kind : eBook
Book Rating : 203/5 ( reviews)

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Book Synopsis Pattern Recognition Using Neural Networks by : Carl G. Looney

Download or read book Pattern Recognition Using Neural Networks written by Carl G. Looney. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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