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

Prediction method of sample data set and hybrid prediction model

A technology of sample data sets and prediction methods, applied in neural learning methods, biological neural network models, integrated learning, etc., can solve problems such as difficulty in greatly improving accuracy

Inactive Publication Date: 2021-12-10
INNER MONGOLIA UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is difficult for a single learner to greatly improve the accuracy

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
  • Prediction method of sample data set and hybrid prediction model
  • Prediction method of sample data set and hybrid prediction model
  • Prediction method of sample data set and hybrid prediction model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] 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 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.

[0040] 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 persons of ordinary skill in the art wi...

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 invention provides a sample data set prediction method and a hybrid prediction model, and the method comprises the following steps: loading and obtaining a sample data set data, carrying out the preprocessing of the sample data set data, obtaining a training set train and a test set test, processing the training set train, and defining the processed training set train as a data set s_train; training the data set s_train in a TableGAN model, generating a new data set t_train, and combining the newly generated data set t_train and the original training set train to construct a data set z_train; training the data set z_train in an XGBoost model, generating a new feature value w, adding the new feature value w into the data set z_train, carrying out feature value expansion, and constructing a data set x_train; training the data set x_train in an NGBoost model, and outputting a predicted value n_train; and calculating the average accuracy, the mean square error and the standard deviation through the test set test, and evaluating a prediction result to complete prediction.

Description

technical field [0001] The present invention relates to the technical field of machine learning forecasting, in particular, to a forecasting method and a mixed forecasting model of a sample data set. Background technique [0002] Ensemble learning is a method of promoting a weak learner to a strong learner. Its working mechanism is: first train a base learner from the initial training set, and then adjust the sample distribution according to the performance of the base learner, so that the training samples that the previous base learner made mistakes will receive more attention in the follow-up. Then the next base learner is trained based on the adjusted sample distribution; this is repeated until the number of base learners reaches the specified value T, or the entire integration result reaches the exit condition, and then these learners are weighted and combined to finally get A strong learner. [0003] The existing technology contains different types of models for sampl...

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 Applications(China)
IPC IPC(8): G06K9/62G06N3/08G06N3/04G06N20/20
CPCG06N3/08G06N20/20G06N3/045G06F18/2148G06F18/24
Inventor 刘靖孙赫董建敏马元飞
Owner INNER MONGOLIA UNIVERSITY