C++ Neural Networks and Fuzzy Logic: Preface

Noise Removal with a Discrete Hopfield Network

Arun Jagota applies what is called a HcN, a special case of a discrete Hopfield network, to the problem of

recognizing a degraded printed word. HcN is used to process the output of an Optical Character Recognizer,

by attempting to remove noise. A dictionary of words is stored in the HcN and searched.

Object Identification by Shape

C. Ganesh, D. Morse, E. Wetherell, and J. Steele used a neural network approach to an object identification

system, based on the shape of an object and independent of its size. A two−dimensional grid of ultrasonic data

represents the height profile of an object. The data grid is compressed into a smaller set that retains the

essential features. Backpropagation is used. Recognition on the order of approximately 70% is achieved.