Criminal case aid decision making method based on fuzzy deep belief network

A deep belief network and decision-aiding technology, applied in the field of criminal case aid decision-making combined with case retrieval, to achieve the effect of ensuring fairness, improving case trial efficiency, and ensuring objectivity

Inactive Publication Date: 2017-07-14
BEIJING THUNISOFT INFORMATION TECH
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AI Technical Summary

Problems solved by technology

But the combination of deep learning and fuzzy mathematics has not yet been used in the field of legal case reasoning

Method used

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  • Criminal case aid decision making method based on fuzzy deep belief network
  • Criminal case aid decision making method based on fuzzy deep belief network
  • Criminal case aid decision making method based on fuzzy deep belief network

Examples

Experimental program
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Embodiment Construction

[0072] Compare and match the characteristics of the case with the ontology information in the ontology case database in the legal field. Through ontology analysis, find relevant legal articles similar to the characteristics of the case in the ontology case database of laws and regulations, and extract the legal articles and related trial recommendations. The overall structure is as figure 1 shown.

[0073] According to legal documents and sentencing methods, a vector model describing the case is established:

[0074] Assuming that the text in the case text library has been preprocessed using the bag of words model, the data set is expressed as:

[0075] X=[x 1 ,x 2 ,...,x R+T ] (1)

[0076] in

[0077] R is the number of texts used as training samples, T is the number of texts used for testing, and D is the number of keywords of legal cases.

[0078] Select L pieces of legal documents for judgment marking, and record them as X L . The corresponding label set is deno...

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Abstract

The invention discloses a criminal case aid decision making method based on a fuzzy deep belief network. The method comprises steps of: establishing a vector model describing a case according to a legal document and a measurement of penalty method; establishing an appropriate deep neural network structure according to the complexity of a judged problem; optimizing a model parameter by using supervised and unsupervised learning methods in virtue of a known plus or minus judgment relation; and performing modeling by using the neural network and predicting the judgment result of a judge. The method can guarantee the objectivity and the fairness of case trial and improves trial efficiency.

Description

technical field [0001] The present invention relates to the field of machine learning technology, in particular to an auxiliary decision-making method for criminal cases based on a fuzzy deep belief network, and further relates to a case retrieval method using a combination of deep learning and fuzzy mathematics. Background technique [0002] As the main body of case trial, the court has accumulated a lot of successful experience in many years of work, and has preserved a large amount of case intelligence information in digital form. At the same time, with the gradual deepening of the application of computer technology, the management and application strategies of these information are becoming more and more mature, especially after the application of various management information systems, the application and management capabilities of case intelligence information have been greatly improved. [0003] In terms of comprehensive mining and utilization of historical case infor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/18G06N3/04G06N3/08
CPCG06N3/08G06Q50/18G06N3/045
Inventor 孙明东韩芳宋永利
Owner BEIJING THUNISOFT INFORMATION TECH
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