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Method for automatically classifying intelligent contracts on basis of feed-forward neural networks

A feed-forward neural network and smart contract technology, applied in the blockchain field, can solve problems such as high time and economic costs, and achieve the effect of saving time and economic costs

Active Publication Date: 2017-05-31
HANGZHOU YUNXIANG NETWORK TECH
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AI Technical Summary

Problems solved by technology

[0004] In order to efficiently manage and effectively organize massive smart contract codes and solve the problem of excessive time and economic costs for manual classification of massive smart contracts, the present invention provides an automatic smart contract classification method based on a feed-forward neural network, which can realize computer Automatic classification of smart contract code

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  • Method for automatically classifying intelligent contracts on basis of feed-forward neural networks
  • Method for automatically classifying intelligent contracts on basis of feed-forward neural networks
  • Method for automatically classifying intelligent contracts on basis of feed-forward neural networks

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Embodiment Construction

[0026] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0027] For massive smart contracts on the Ethereum, the present invention is based on the feedforward neural network smart contract automatic classification method, comprising the following steps:

[0028] 1. According to the analysis of a large number of smart contracts in the current smart contract platform, smart contracts are divided into 9 categories: finance (insurance, financing, investment, etc.), Internet of Things, games, lottery tickets, tools, and entertainment , currency classes, information management classes, and others.

[0029] 2. Use the feedforward neural network and the labeled smart contract code set to train the classifier of the smart contract. The training process is as described in steps 3 to 7 below.

[0030] 3. For an input pie...

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Abstract

The invention discloses a method for automatically classifying intelligent contracts on the basis of feed-forward neural networks. The method has the advantages that intelligent contract codes can be automatically classified by machines; the time and economic costs can be saved as compared with current traditional methods for manually classifying existing intelligent contracts, and the method is competent for tasks with massive contracts which cannot be manually classified; re-training can be carried out by the aid of updated contract sets owing to training modes of the feed-forward neural networks when labeled intelligent contract sets are updated, so that automatic classifiers can adapt to new change.

Description

technical field [0001] The invention belongs to the technical field of block chains, and in particular relates to a method for automatically classifying smart contracts based on a feedforward neural network. Background technique [0002] As one of the applications supported by blockchain technology, blockchain smart contracts allow users to implement personalized code logic on the blockchain, making blockchain technology easier to use. However, with the rapid development of smart contract platforms such as Ethereum, the number of smart contract codes on the blockchain has increased rapidly. Today, hundreds of thousands of smart contracts have been accumulated in large smart contract platforms, and the number is still growing exponentially. [0003] At present, for the management and organization of smart contract codes, due to the lack of automatic classification tools, manual classification methods are still used for classification. However, the current 100,000-level and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06Q20/38
CPCG06N3/08G06Q20/38G06N3/044G06F18/2414
Inventor 刘振广黄步添陈建海温琪俞之贝张维赛杨文龙王云霄
Owner HANGZHOU YUNXIANG NETWORK TECH
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