LEARNING METHOD OF CHOAS CIRCULAR NEURAL NET

摘要

The present invention discloses a learning method in a cyclic neural network using a chaotic neural network. The method comprises the steps of: initializing the initial condition x _i (0) and the connection weight to a random value; A second step of performing a network according to Equation (1) during a period T according to the initial condition x _i (0) and an external input a _i (t);;(here, , w _ij is the weight of the connection from the j th neuron to the i th neuron, f _i is the output function of the i th neuron, y _i (t) and x _i (t) are the time-varying internal states and outputs of the i th neuron, a _i (t) is the external input of the i-th neuron.) L _i (T) = 0, S x _i (0) = 0 Lagrange multiplier L _i by the given teacher signal Q _i (t) a third step of obtaining (t) inversely from the time T according to Equation (2) below, wherein x _i (t) uses the value calculated in the second step;;Where δE is the change in total error and δw _ij is the small change in link weight.;A fourth step of performing a process from the second step to the third step on all inputs and calculating a sum of total errors; And a fifth step of repeating learning from the second step after correcting the weight by the following equation (3), which is a weight correction equation if the error is less than or equal to a predetermined limit error in the fourth step;;Consists of