C++ Neural Networks and Fuzzy Logic: Preface

Self−organization

A process of partitioning the output layer neurons to correspond to individual patterns or categories,

also called unsupervised learning or clustering.

Short−term memory (STM)

The storage of information that does not endure long after removal of the corresponding input.

Simulated annealing

An algorithm by which changes are made to decrease energy or temperature or cost.

Stability

Convergence of a network operation to a steady−state solution.

Supervised learning

A learning process in which the exemplar set consists of pairs of inputs and desired outputs.

T

Threshold value

A value used to compare the activation of a neuron to determine if the neuron fires or not. Sometimes

a bias value is added to the activation of a neuron to allow the threshold value to be zero in

determining the neuron’s output.

Training

The process of helping in a neural network to learn either by providing input/output stimuli

(supervised training) or by providing input stimuli (unsupervised training), and allowing weight

change updates to occur.