A hybrid blockchain model construction method based on deep learning

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...

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

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