Computer-aided learning of neural networks involves changing cross-links between first and second layers of neurons of neural network based on variable state of neural network which is determined using feature instances and categories

摘要

The method involves dividing the neurons of a neural network (1) into two interlaced layers (L1,L2). The first layer stores feature instances represented by the input data. The second layer stores majority of categories covering the neurons in the second layer. Each category in second layer is assigned to each feature instance in the first layer. The varying state of the neural network is determined based on the categories with assigned feature instances after entering the input data. The cross-links between first and second layer is changed based on the determined state of the neural network. An independent claim is included for the neural network.