Vector graph based construction method for binary-decision-tree expert knowledge base

An expert knowledge base and vector graphics technology, applied in the field of vector graphics-based binary decision tree expert knowledge base construction. problems, to achieve the effect of reducing maintenance difficulty, reducing communication errors, and strong operability

Inactive Publication Date: 2014-03-26
THE 41ST INST OF CHINA ELECTRONICS TECH GRP
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AI Technical Summary

Problems solved by technology

One is that human experts cannot understand the expert knowledge base coded by knowledge engineer software, and cannot discover and test wrong expert knowledge brought about by misunderstandings in communication.
Second, it is difficult to maintain the expert knowledge base. Adding and modifying expert knowledge requires knowledge engineers to communicate with human experts again, and knowledge engineers need to recode. At the same time, new communication misunderstandings may also be brought into the knowledge base
Third, the construction efficiency of the expert knowledge base is low due to frequent communication

Method used

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  • Vector graph based construction method for binary-decision-tree expert knowledge base
  • Vector graph based construction method for binary-decision-tree expert knowledge base
  • Vector graph based construction method for binary-decision-tree expert knowledge base

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0022] Such as figure 1 Shown, the vector graphics-based binary decision tree expert knowledge base construction method of the present invention comprises the following steps:

[0023] a, select the existing expert knowledge vector diagram from the computer by vector graphics software 1 or create a new blank vector diagram in the vector graphics software;

[0024] B, utilize vector drawing software 1 and binary decision tree drawing module 2 to draw binary decision tree vector in the blank vector diagram of step 1 image 3 , or modify the binary decision tree vector in the expert knowledge vector diagram in step 1 image 3 , to save the drawing result;

[0025] c. Call the vector diagram analysis software for 4 pairs of binary decision tree vectors image 3 Perform analysis, and the vector diagram analysis software 4 writes the analysis re...

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Abstract

The invention discloses a vector graph based construction method for a binary-decision-tree expert knowledge base. The method comprises the steps that a) an existed expert knowledge vector graph is selected from a computer via vector drawing software (1), or a blank vector graph is created in the vector drawing software; b) a binary-decision-tree vector graph (3) is drawn in the blank vector graph in the step a) via the vector drawing software (1) and a binary-decision-tree drawing module (2), or the expert knowledge vector graph in the step a) is modified to form a binary-decision-tree vector graph (3), and the drawing result is stored; and c) the binary-decision-tree vector graph (3) is analyzed by calling vector graph analysis software (4), and the vector graph analysis software (4) writes the analysis result into the expert knowledge base (5). The method of the invention improves the accuracy and efficiency in construction of the expert knowledge base, and reduces the difficulty in maintaining the expert knowledge base.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method for constructing a binary decision tree expert knowledge base based on vector graphics. Background technique [0002] The expert system sprouted in the 1940s and developed rapidly from the 1970s. At present, expert systems have been widely used in many fields such as chemistry, electronics, medicine, and geology. Expert systems are a branch of the field of artificial intelligence. One of the early pioneers of expert systems, Professor Edward Feigenbaum of Stanford University, defined an expert system as "an intelligent computer program that applies knowledge and reasoning processes to solve complex problems that only experts can solve." Therefore, the expert system can be expressed as: expert system = knowledge base + reasoning machine. [0003] Early expert systems are characterized by weak knowledge bases and strong inference engines. Its goal is to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/00
Inventor 宋斌方葛丰刘毅方鹏吴波邱田华张苏梅
Owner THE 41ST INST OF CHINA ELECTRONICS TECH GRP
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