A locally active unit for neural networks and its learning method

In this paper, a type of neural network using locally active units and a learning method is proposed. A locally active unit is a processing element which is used as an artificial neuron, and which is only activated by input vectors in a bounded domain of the vector space. The unit is suitable for constructing neural networks for pattern recognition. The learning method adjusts the resolution of the units so that the neural net can handle complex boundaries between pattern categories.