Echo state network based prediction method and prediction device

A technology of echo state network and prediction method, which is applied in the computer field, and can solve the problems of slow prediction speed and low prediction accuracy.

Inactive Publication Date: 2015-02-11
杨凤琴
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Problems solved by technology

[0004] In the prediction of nonlinear systems using the ESN echo state network, the prediction speed in the

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  • Echo state network based prediction method and prediction device
  • Echo state network based prediction method and prediction device
  • Echo state network based prediction method and prediction device

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[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] An embodiment of the present invention provides a prediction method based on an echo state network, such as figure 1 As shown, the method includes:

[0061] 101. Establish an echo state network prediction model, and the neurons in the dynamic pool of the echo state network prediction model are wavelet neurons.

[0062] 102. Obtain a training set according to the input data, and use the training set to perform prediction training on the echo state netwo...

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Abstract

The embodiment of the invention provides an echo state network based prediction method and a prediction device, and relates to the field of computers. The prediction method and prediction device can effectively improve the prediction performance of the ESN (Echo State Network), and increase the speed and the accuracy of prediction. The prediction method comprises the following steps: firstly, establishing an echo state network prediction model, wherein nerve cells in a dynamic pool of the echo state network prediction model serves as wavelet nerve cells; acquiring a training set according to the input data, utilizing the training set to carry out prediction training on the echo state network prediction model, and obtaining the trained prediction model; predicting according to the trained prediction model, so as to obtain output data. The echo state network based prediction method and the prediction device disclosed by the embodiment of the invention can be applied to prediction of nonlinear chaotic time series data.

Description

technical field [0001] The invention relates to the field of computers, in particular to a prediction method and a prediction device based on an echo state network. Background technique [0002] The use of neural networks to predict nonlinear systems has achieved good results and has been widely used. Echo State Network (ESN) is a new type of recurrent network structure and recurrent network learning method. ESN has a large-scale internal neuron, which makes it have good short-term memory ability. In the chaotic time series prediction task Much better than traditional neural networks. [0003] In the process of realizing the prediction of the above-mentioned nonlinear system, the inventors found that there are at least the following problems in the prior art: [0004] In the prediction of nonlinear system using ESN echo state network, the prediction speed in classical ESN echo state network is relatively slow, and the prediction accuracy cannot meet the requirements. Con...

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Application Information

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IPC IPC(8): G06F19/00G06F17/50G06N3/02
Inventor 杨凤琴
Owner 杨凤琴
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