A hybrid block chain model construction method based on deep learning

A deep learning and construction method technology, applied in the blockchain field, can solve problems such as the difficulty in improving the quality of the model, the difficulty in guaranteeing the generalization performance of the mathematical model, and the difficulty in exerting the value of the private chain data, so as to improve the generalization performance index, Increased reliability and comprehensiveness, reduced likelihood of effect

Active Publication Date: 2019-05-03
TSINGHUA UNIV +1
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First of all, the data utilization rate in the blockchain is low. The public chain only records transaction information, while the non-public private chain data on the private chain contains a lot of unused information, making it difficult for the private chain data to exert its true value.
Secondly, due to the limited data published in the public chain, the generalization performance of the mathematical model is difficult to guarantee, and overfitting often occurs, resulting in low accuracy in the process of data processing, and it is difficult to truly improve the quality of the model

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 hybrid block chain model construction method based on deep learning
  • A hybrid block chain model construction method based on deep learning
  • A hybrid block chain model construction method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In order to better understand the above-mentioned purpose, features and advantages of the present application, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0024] In the following description, a lot of specific details are set forth in order to fully understand the application, however, the application can also be implemented in other ways different from those described here, therefore, the protection scope of the application is not limited by the following disclosure Limitations of specific embodiments.

[0025] The following will refer to Figure 1-3 Embodiments of the present application will be described.

[0026] Such as figure 1 As shown, this embodiment provides a hybrid blockchain model construction meth...

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 hybrid block chain model construction method based on deep learning, a participation node in the method is used for constructing an operation model according to public chaindata and/or private chain data, a task node is used for constructing a hybrid block chain model according to the operation model, and the method comprises the following steps: the task node sends a task requirement to the participation node; the participation node constructs a neural network training model and records the neural network training model as an operation model by using a deep learningmethod according to task requirements, public chain data stored in a block chain and/or private chain data stored in the participation node; and the task node obtains the operation model, and utilizes a deep learning algorithm to fuse the operation model and record the operation model as a hybrid block chain model. Through the technical scheme provided by the invention, the utilization rate of private chain data in the block chain is favorably improved, and the accuracy in the block chain data processing process is improved.

Description

technical field [0001] This application relates to the technical field of blockchain, in particular, to a method for constructing a hybrid blockchain model based on deep learning. Background technique [0002] Blockchain is mainly divided into public chain and private chain. The public chain is a decentralized, trustless distributed accounting system, representative examples include Bitcoin, Ethereum, etc. The data stored in the public chain can be read by anyone and the correctness of the data is guaranteed. Users can obtain the required data set according to the records in the public chain for screening and analysis, and train the neural network. A private chain refers to a blockchain controlled by an organization or institution. Due to the limitation and controllability of participating nodes, compared with the public chain, the private chain can record a large amount of private data due to its better privacy protection mechanism. Only authorized users can use private c...

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): G06F16/27
Inventor 黄晋蔡钰赵曦滨胡昱坤张恩德刘尧
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap