ISBN: 9780849394621 - Pattern Recognition with Neural Networks in C++ (23 results)

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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: Gut. Zustand: Gut | Seiten: 432 | Sprache: Englisch | Produktart: Bücher | The addition of artificial network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this practical guide to the application of artificial neural networks. The material covered in the book is accessible to working engineers with little or no explicit background in neural networks.…

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Condition: New. pp. 428.

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Condition: New. A guide to the application of artificial neural networks. Through the book's presentation of underlying theory together with practical examples, readers should gain an understanding that should allow them to make well-informed design choices. Num Pages: 432 pages, 3 black & white tables. BIC Classification: UMX; UYQN; UYQP. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 23. Weight in Grams: 771. . 1995. 1st Edition. hardcover. . . . .…

Condition: New. In English.

Hardcover. Condition: Brand New. 1st edition. 410 pages. 9.75x6.50x1.00 inches. In Stock.

Condition: New. A guide to the application of artificial neural networks. Through the book's presentation of underlying theory together with practical examples, readers should gain an understanding that should allow them to make well-informed design choices. Num Pages: 432 pages, 3 black & white tables. BIC Classification: UMX; UYQN; UYQP. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 23. Weight in Grams: 771. . 1995. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.…

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Pandya, Abhijit S. Macy, Robert B.Pandya, Abhijit S. Macy, Robert B.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 th.…

Condition: New. pp. 428 316 equations This item is printed on demand.

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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…