Prediction method and prediction device of echo state network

Abstract

The embodiment of the invention provides a prediction method and a prediction device of an echo state network (ESN) and relates to the technical field of a communication service network so that the prediction performance of the ESN can be improved effectively and the prediction speed and the prediction precision can be improved. The method is as follows: through establishment of a prediction model of the ESN, wherein a dynamic pool of the prediction model is a mixed neuron dynamic pool which includes wavelet neurons, a training set is obtained from input data and prediction training is carried out on the prediction model according to the training set and then the prediction model which completes training is obtained; and through prediction input data, the prediction model which completes training is predicted and then prediction output data in a prediction process is obtained. The prediction method and the prediction device are used for prediction of nonlinear chaotic time sequence data.

Description

technical field [0001] The invention relates to the technical field of communication service networks, in particular to a prediction method and a prediction device for an echo state network. Background technique [0002] The use of neural networks to predict nonlinear systems has good results and has been widely used. ESN (Echo State Network, Echo State Neural Network) is a new type of recurrent network structure and recurrent network learning method. ESN has large-scale internal neurons, which makes ESN have good short-term memory ability, and it is much better than traditional neural network in chaotic time series prediction tasks. [0003] In the prediction of nonlinear system using ESN echo state network, the prediction speed in traditional ESN echo state network is relatively slow, and the prediction accuracy cannot meet the requirements. Contents of the invention [0004] Embodiments of the present invention provide a prediction method and device for an echo state ...

AI Technical Summary

Problems solved by technology

[0003] In the prediction of nonlinear systems using the ESN echo state network, the prediction speed in the traditional ESN echo state network is relatively slow, and the prediction accuracy cannot meet the requirements

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