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

A sparse Bayesian network incremental learning method based on continuous industrial data

A technology of sparse Bayesian and industrial data, applied in the field of incremental learning of sparse Bayesian network, it can solve problems such as a lot of time overhead, and achieve the effect of speeding up convergence, satisfying causal analysis and abnormal traceability

Inactive Publication Date: 2019-01-11
JIANGSU FRONTIER ELECTRIC TECH +3
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods require a lot of time overhead for data with many features

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 sparse Bayesian network incremental learning method based on continuous industrial data
  • A sparse Bayesian network incremental learning method based on continuous industrial data
  • A sparse Bayesian network incremental learning method based on continuous industrial data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0018] In the claims, description and above-mentioned drawings of the present invention, unless otherwise clearly defined, the terms "first", "second" or "third" are used to distinguish different objects, not for Describe a specific order.

[0019] In the claims, specification and above-mentioned drawings of the present invention, unless otherwise clearly defined, for orientation words, such as using the terms "center", "transverse", "longitudinal", "horizontal", "vertical", "top" , "Bottom", "Inner", "Outer", "Up", "Down", "Front", "Back", "Left", "Ri...

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 discloses a sparse Bayesian network incremental learning method based on continuous industrial data. The sparse Bayesian network incremental learning method based on continuous industrial data comprises the following steps: 1, data preprocessing: preprocessing training samples such as regularization to ensure that the mean value is 0 and the variance is 1; 2, structure learning: based on a sliding window, carrying out incremental learning of the structure in the form of batch samples; 3, parameter learning: obtaining the mean value and variance of the mixed Gaussian distributionof each feature under the current state by using the relation coefficient matrix obtained by the structure learning and the regularized sample, namely the continuous Bayesian network parameters; 4, network updating: for the new arrival samples, using the regularization parameters of the population samples for preprocessing, and forming the same size batch samples by sliding windows for updating the structure and parameters.

Description

technical field [0001] The invention belongs to the technical field of computer applications, in particular to a sparse Bayesian network incremental learning method based on continuous industrial data. Background technique [0002] With the development of my country's industrial technology, more and more modern industrial equipment has been put into actual production, creating huge economic value for the country and society. However, with the upgrading of industrial equipment, although a lot of manual labor has been liberated, it has also brought considerable difficulties to the monitoring of the entire industrial process. Although the automation of many large-scale industrial equipment has been realized at present, the normal operation of the equipment still requires people to constantly control it. Due to the complexity of the equipment, when there is an abnormality in the equipment, experienced workers who are familiar with the operation process are required to trace the...

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
IPC IPC(8): G06K9/62G06N7/00
CPCG06N7/01G06F18/29
Inventor 周春蕾张友卫高阳张天诚帅云峰孙栓柱綦小龙李逗李春岩潘苗杨晨琛王其祥高进王明
Owner JIANGSU FRONTIER ELECTRIC TECH