Object-Oriented Neural Networks in C++

Object-Oriented Neural Networks in C++
Title Object-Oriented Neural Networks in C++ PDF eBook
Author Joey Rogers
Publisher Morgan Kaufmann
Pages 326
Release 1997
Genre Computers
ISBN 9780125931151

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"This book is distinctive in that it implements nodes and links as base objects and then composes them into four different kinds of neural networks. Roger's writing is clear....The text and code are both quite readable. Overall, this book will be useful to anyone who wants to implement neural networks in C++ (and, to a lesser extent, in other object-oriented programming languages.)...I recommend this book to anyone who wants to implement neural networks in C++."--D.L. Chester, Newark, Delaware in COMPUTING REVIEWSObject-Oriented Neural Networks in C++ is a valuable tool for anyone who wants to understand, implement, or utilize neural networks. This book/disk package provides the reader with a foundation from which any neural network architecture can beconstructed. 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 architectures with a great deal of ease and flexibility. A wealth of neural network formulas (with standardized notation), object code implementations, and examples are provided to demonstrate the object-oriented approach to neural network architectures and to facilitatethe development of new neural network architectures. This is the first book to take full advantage of the reusable nature of neural network classes. Key Features * Describes how to use the classes provided to implement a variety of neural network architectures including ADALINE, Backpropagation, Self-Organizing, and BAM * Provides a set of reusable neural network classes, created in C++, capable of implementing any neural network architecture * Includes an IBM disk of the source code for the classes, which is platform independent * Includes an IBM disk with C++ programs described in the book

Neural Networks in C++

Neural Networks in C++
Title Neural Networks in C++ PDF eBook
Author Adam Blum
Publisher Wiley
Pages 228
Release 1992-06-04
Genre Computers
ISBN 9780471552017

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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

C++ Neural Networks and Fuzzy Logic

C++ Neural Networks and Fuzzy Logic
Title C++ Neural Networks and Fuzzy Logic PDF eBook
Author Hayagriva V. Rao
Publisher
Pages 551
Release 1996
Genre C++ (Computer program language)
ISBN 9788170296942

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New Trends in Neural Computation

New Trends in Neural Computation
Title New Trends in Neural Computation PDF eBook
Author José Mira
Publisher Springer Science & Business Media
Pages 772
Release 1993-05-27
Genre Computers
ISBN 9783540567981

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Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).

OBJECT ORIENTED PROGRAMMING WITH C++

OBJECT ORIENTED PROGRAMMING WITH C++
Title OBJECT ORIENTED PROGRAMMING WITH C++ PDF eBook
Author Hanumanth Ladwa
Publisher Hanumanth Ladwa
Pages 304
Release
Genre Computers
ISBN

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OBJECT ORIENTED PROGRAMMING WITH C++

Object Oriented Programming with C++, 2nd Edition

Object Oriented Programming with C++, 2nd Edition
Title Object Oriented Programming with C++, 2nd Edition PDF eBook
Author Khurana Rohit
Publisher Vikas Publishing House
Pages 609
Release
Genre Computers
ISBN 9325975645

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The revised edition of Object-Oriented Programming with C++ has become more comprehensive with the inclusion of several topics. Like its previous edition, it provides an in-depth coverage of basic, as well as advanced concepts of object-oriented programming such as encapsulation, abstraction, inheritance, polymorphism, dynamic binding, templates, exception handling, streams, and Standard Template Library (STL) and their implementation through C++. Besides, the revised edition includes a chapter on multithreading. The book meets the requirements of students enrolled in various courses at undergraduate and postgraduate levels, including BTech, BE, BCA, BSc, MSc, and MCA. It is also useful for software developers who wish to expand their knowledge of C++. New in This Edition • Inclusion of topics like empty class, anonymous objects, recursive constructors and object slicing. • A chapter on multithreading explaining how concurrency is implemented in C++. Key Features • Presentation for easy grasp through chapter objectives, suitable tables, diagrams and programming examples. • Notes and key points provided to make the reader self-sufficient. • Examination-oriented approach through objective and descriptive questions at the end of each chapter to help students in the preparation for annual and semester tests

Neural Networks

Neural Networks
Title Neural Networks PDF eBook
Author Berndt Müller
Publisher Springer Science & Business Media
Pages 340
Release 2012-12-06
Genre Computers
ISBN 3642577601

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Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.