Unlock instant, AI-driven research and patent intelligence for your innovation.

A prediction method and device based on time series bp neural network

A BP neural network and time series technology, applied in the computer field, can solve the problems of poor stability and low result accuracy, and achieve the effect of high accuracy

Active Publication Date: 2020-11-03
BEIHANG UNIV
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, when a neural network is used to predict a certain result, if the determined influencing factors are not comprehensive enough, the accuracy of the final predicted result will be low and the stability will be poor

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A prediction method and device based on time series bp neural network
  • A prediction method and device based on time series bp neural network
  • A prediction method and device based on time series bp neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a prediction method and device based on a time series BP neural network, wherein the method includes: establishing a time series BP neural network; training the neural network, including: obtaining training set data, in the training set data Including the value of the influencing factor; according to the training set data, the actual value of the corresponding factor to be predicted in the previous iteration calculation and the neural network, the calculation is performed to obtain the second output data, and when the training termination condition is not satisfied, the corresponding The actual value of the factor to be predicted is used as a part of the input data of the next iteration to continue iterative calculation; after the training is completed, the connection weight between each neuron, the threshold value of the hidden layer and the output layer neuron are obtained, wherein the The connection weight between each neuron includes the influence weight of the factors to be predicted in the previous time period; based on the actual value of the factors to be predicted in the previous time period, the value of the influencing factors of the factors to be predicted in this time period and the training completed The neural network is used to obtain the predicted value of the factors to be predicted in this time period. The invention has positive effects of high prediction accuracy and good stability.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a prediction method and device based on a time series BP neural network. Background technique [0002] Neural network is a mathematical model that uses a structure similar to that of brain synaptic connections for information processing; among them, BP neural network is a static network as a forward multi-layer neural network, which propagates in one direction during operation and has no feedback. Afterwards, many feedback neural networks were derived. [0003] In the prior art, when a neural network is used to predict a certain result, if the determined influencing factors are not comprehensive enough, the accuracy and stability of the final predicted result will be low. Contents of the invention [0004] In view of this, the object of the present invention is to provide a forecasting method and device based on time series BP neural network, so as to improve the acc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/049G06N3/08G06N3/045
Inventor 苑星龙肖依永徐振中
Owner BEIHANG UNIV