With the background of the forensic medicine problem of individual identification from human skeleton ,this paper using fuzzy inference theory, adopt knowledge description methods nnd fuzzy inference technology, introduce some methods to accomplish the Forensic Medicine Expert System of Individual Identification from Human Skeleton (RLXES).
Aiming at the characteristics of the knowledge description and reasoning in experiment operations, by use of the object-oriented methods of analysis and design, it built up a framework of evaluating and scoring system for experiment operations with C++ as programming language.
A kind of fault diagnosis expert system of Engine with artificial intelligence and media mix technique based on E-R methods was developed, which is composed of the knowledge description, knowledge acquirement and trouble reasoning method.
It has momentous theory significance and practical significance to imitate human thinking process of uncertain inference with computer. This paper based on fuzzy inference theory and adopt knowledge description methods and fuzzy inference technology, introduce some methods to accomplish the Expert System with the background of the forensic medicine problem of individual identification from human skeleton.
In this paper, according to the characteristics of structure design for a blanking die, the basic principle of knowledge-driven structure design for blanking die was proposed. The hybrid knowledge representation method, which was based on procedure method and combined with frame and rule, was established. And a special knowledge description language: Blanking Die System Knowledge Language (BDSKL) was introduced as well.
This abstract simulation model can be divided into three important components: supply chain structure description model, supply chain knowledge description model and supply chain performance measure system.
There are a lot of shortages in popular model ofexpression for knowledge which is based on HTML, in order to improveexpansibility, operability and reusability about knowledge description, we adoptthe newest web technique (XML technique) to develop the computer networkcourseware for making up these shortages.
Second scheme: Fuzzy neural networks controller is constructed by employing the great structure knowledge description ability of fuzzy logic and the great studying ability of neural networks to tune structure and parameters of membership functions, and extracts effective fuzzy control rules from data.