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Neural network ensemble with temperature control

In this paper we propose a model of neural network ensemble composed of a number of multilayer perceptrons (MLP), each with a unique expertise. Using temperature control the most appropriate ensemble member will be automatically activated for a given environment while the irrelevant members will be inhibited. The proposed temperature control will enable the neural network ensemble to work efficiently in multiple environments.