Object-Oriented Neural Networks in C++

Object-Oriented Neural Networks in C++
Author :
Publisher : Morgan Kaufmann
Total Pages : 326
Release :
ISBN-10 : 0125931158
ISBN-13 : 9780125931151
Rating : 4/5 (151 Downloads)

Book Synopsis Object-Oriented Neural Networks in C++ by : Joey Rogers

Download or read book Object-Oriented Neural Networks in C++ written by Joey Rogers and published by Morgan Kaufmann. This book was released on 1997 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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


Object-Oriented Neural Networks in C++ Related Books

Object-Oriented Neural Networks in C++
Language: en
Pages: 326
Authors: Joey Rogers
Categories: Computers
Type: BOOK - Published: 1997 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

"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 wri
Neural Networks and Deep Learning
Language: en
Pages: 512
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2018-08-25 - Publisher: Springer

DOWNLOAD EBOOK

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm
Practical Neural Network Recipes in C++
Language: en
Pages: 493
Authors: Timothy Masters
Categories: C (Computer program language)
Type: BOOK - Published: 1993 - Publisher: Elsevier

DOWNLOAD EBOOK

Pattern Recognition with Neural Networks in C++
Language: en
Pages: 434
Authors: Abhijit S. Pandya
Categories: Computers
Type: BOOK - Published: 1995-10-17 - Publisher: CRC Press

DOWNLOAD EBOOK

The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is
Neural Networks in C++
Language: en
Pages: 228
Authors: Adam Blum
Categories: Computers
Type: BOOK - Published: 1992-06-04 - Publisher: Wiley

DOWNLOAD EBOOK

Neural Networks in C++ An Object-Oriented Framework for Building Connectionist Systems Extremely useful, this valuable guide concentrates on the practical side