C++ Neural Networks and Fuzzy Logic: Preface

Clamping Probabilities

Sometimes in simulated annealing, first a subset of the neurons in the network are associated with some

inputs, and another subset of neurons are associated with some outputs, and these are clamped with

probabilities, which are not changed in the learning process. Then the rest of the network is subjected to

adjustments. Updating is not done for the clamped units in the network. This training procedure of Geoffrey

Hinton and Terrence Sejnowski provides an extension of the Boltzmann technique to more general networks.