Control method for embedded expert system based on pure digital expression and four-arithmetic operation

Abstract

The invention provides a control method of an embedded expert system which is based on pure numeric expression and four arithmetic operations. The control method uses prime numbers to code various sub-items of the condition part of a rule in a knowledge base, the product of the prime numbers which are obtained by coding is used for replacing the original condition part; the control method can further realize the automatic advanced coding treatment against the possibly occurred overflow problem; integers are used for coding the conclusion of the rule, thereby converting a knowledge base to thefull-numeric form, realizing the expert reasoning process by using the four arithmetic operations and the table looking-up operation and obtaining the reasoning basis. The control method can not onlysave a great deal of memory resources used for storing the knowledge base, but also accelerate the reasoning diagnosis speed of the system, thereby being particularly applicable to the implementationon the embedded platform with the limited hardware resources. In addition, the short rule with the pure numeric expression greatly accelerates the access speed of data and the remote transfer speed in a network, thereby being conductive to the dynamic synchronous update with the comprehensive knowledge base on a remote server.

Description

[0001] Technical field [0002] The invention relates to an embedded expert system method based on pure digital expression knowledge and pure four operations to realize expert reasoning and obtain reasoning basis. It belongs to the field of artificial intelligence and is especially suitable for expert systems in embedded systems, portable systems, system chips, and mobile phones. Devices and small computer devices. Background technique [0003] The rule-based expert system has been widely used in various fields, such as medical diagnosis, prediction and forecasting, engineering control, etc., because its knowledge is easy to understand, its deductive reasoning process is close to people's thinking logic, and its conclusions are easy to explain. Related supporting technologies have also developed relatively maturely, such as automatic acquisition of knowledge, pre-processing of signals, deterministic and indeterminate reasoning and diagnosis, automatic interpretation of reason...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the excessively large storage space occupied by the knowledge base of the existing text-based expert system or the symbolic-rule-based symbolic expert system, the reasoning and diagnosis speed is too slow, and the requirements for computer hardware resources are too high and are not suitable. Insufficient in the application of embedded and portable platforms, providing a new digital expert system method based on pure digital expression and pure four operations

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