C++ Neural Networks and Fuzzy Logic: Preface

H

Hamming distance

The number of places in which two binary vectors differ from each other.

Hebbian learning

A learning algorithm in which Hebb’s rule is used. The change in connection weight between two

neurons is taken as a constant times the product of their outputs.

Heteroassociative

Making an association between two distinct patterns or objects.

Hidden layer

An array of neurons positioned in between the input and output layers.

Hopfield network

A single layer, fully connected, autoassociative neural network.

I

Inhibition

The attempt by one neuron to diminish the chances of firing by another neuron.

Input layer

An array of neurons to which an external input or signal is presented.

Instar

C++ Neural Networks and Fuzzy Logic:Preface

Glossary

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A neuron that has no connections going from it to other neurons.