Practical Neural Network Recipes in C++

by Timothy Masters

0 ratings • 0 reviews • 0 shelved
Book cover for Practical Neural Network Recipes in C++

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up. The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included. Bound in the book is an IBM diskette that includes the source code for all programs in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed both in the text and in the comments within the code to facilitate translation to other languages.
  • ISBN10 0127848207
  • ISBN13 9780127848204
  • Publish Date 21 July 1997 (first published 14 April 1993)
  • Publish Status Out of Print
  • Out of Print 28 October 2015
  • Publish Country US
  • Imprint Academic Press
  • Format Paperback (US Trade)
  • Language English