Group unit sequential study mode null of the join in neural

摘要

PURPOSE:To prevent the breakdown of knowledge reflected at the time of setting an initial value of weight by converting a neural network of complete coupling to a network having a certain special structures by setting a group of coupling as a unit, adjusting the degree of learning at every coupling group and determining the sequence of leading. CONSTITUTION:A neural network learning means 4 sets a learning adjustment constant outputted by a learning adjustment constant output means 3 to all couplings in a neural network, and controls learning of the neural network. In accordance with the storage contents of a learning coupling group storage means 5, that is, the designation of a coupling group learned in each learning phase, a learning phase control means 6 allows the learning adjustment constant output means 3 to output, for instance, '1', and '0' to an in-group coupling or an inter-group coupling learned in each learning phase, and to all the coupling except the above coupling, respectively, and also, controls learning of each learning phase. In such a way, it can be prevented that knowledge reflected at the time of setting an initial value of weight is broken down.