Artificial intelligence (AI) tools, such as expert systems, fuzzy logic, and neural networks are expected to usher a new era in power electronics and motion control in the coming decades. Although these technologies have advanced significantly and have found wide applications, they have hardly touch...
The results of these fuzzy expert system models are either (1) approximately good in comparison with their classical counterparts, i.e., within a few percentage points of the optimal results of classical models, as for example, for the cases of production, and spare parts planning, or (2) ...
Fuzzy systems in AI: An overview This paper reviews motivations for introducing fuzzy sets and fuzzy logic to knowledge representation in artificial intelligence. First we consider some areas of successful application of conventional approaches to system analysis. We th... C Freksa - Vieweg+Teubner ...
An expert system is expected to be able to draw conclusions without seeing all possible external information. It should be capable of directing the acquisition of new information in an efficient manner and also be able to justify a conclusion reached. 展开 ...
fuzzy expert system for cocoon grading. The significance of shell ratio (%), defective cocoon (%) and cocoon size in governing the quality of cocoons has meant that these are the three main quality parameters used for cocoon grading. This provides a good flexibility in reflecting the ...
Aiming at the problems of sufficient adaptability and lack of tactical capabilities of unmanned combat air vehille (UCAV) in short-range escape maneuvers i... TAN Mulai,DING Daii,XIE Lei,... - Systems Engineering & Electronics 被引量: 0发表: 2022年 Modeling of a Fuzzy Expert System for ...
Therefore, this study proposed an expert system approach by taking into account both the affective and cognitive status of individual learners. An adaptive learning system was implemented based on the proposed approach. In addition, an experiment was conducted in a fifth-grade Mathematics course to ...
The paper demonstrates a novel component oriented fuzzy expert system (COFES) developed in PROLOG for power system fault diagnosis. This `expert system' assesses faults on power systems using intelligent techniques that can take account of bad/missed SCADA data. Incorrect operation of protective relay...
It can help the system to judge the users level of knowledge and to produce a suitable explanation. In this paper, we first give the definition of FUM, and then provide three algorithms such as FUM initialization algorithm (AIARS: Adaptive Inter-view Algorithm Based on Random Sequence), FUM...
As such, this noninvasive procedure is not frequently used in the general clinical routine. An Artificial Intelligence (AI) system for interpreting surface EMG signals and the resulting muscular coordination patterns could overcome these limitations. To support such interpretation, an expert system based...