C++ Neural Networks and Fuzzy Logic: Preface

C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.

ISBN: 1558515526   Pub Date: 06/01/95

Previous Table of Contents Next

Circuit Board Faults

Anthony Mason, Nicholas Sweeney, and Ronald Baer studied the neural network approach in two laboratory

experiments and one field experiment, in diagnosing faults in circuit boards.

Test point readings were expressed as one vector. A fault vector was also defined with elements representing

possible faults. The two vectors became a training pair. Backpropagation was used.

Warranty Claims

Gary Wasserman and Agus Sudjianto model the prediction of warranty claims with neural networks. The

nonlinearity in the data prompted this approach.

The motivation for the study comes from the need to assess warranty costs for a company that offers extended

warranties for its products. This is another application that uses backpropagation. The architecture used was

2−10−1.