Expert systems are another name for Classical AI.
专家系统是古典人工智能的别称。
The basic representation unit in most rule-based expert systems.
在大多数基于规则的专家系统中的基本表示单元。
One practical application of AI has been in the area of expert systems.
人工智能的一个实际应用领域是专家系统。
Expert systems use rules to represent experts, reasoning in solving problems.
专家系统用规则来代表专家，推理并得到合理的解决方案。
An approach to represent the knowledge for mechanical design expert systems is proposed.
本文给出一种表示机械设计专家系统知识的方法。
This paper developed a tool of building expert systems based on artificial neural network.
研制了一个建造神经网络专家系统的开发工具。
In medical expert systems, it is important to represent and deal with temporal information.
在医学专家系统中，对时态信息的表示和处理是一个很重要的问题。
According to the theory of fuzzy mathematics, we present a model of fuzzy decision expert systems.
根据模糊数学理论，我们提出了一个模糊决策专家系统模型。
Expert systems are used by both management and non-management personnel to solve specific problems.
人力资源管理和非人力资源管理都要应用专家系统来解决特殊问题。
This paper presents a method of building expert systems with fuzzy-neural technology '(FNT method).
本文提出了一种用模糊-神经技术建造专家系统的方法(FNT方法)。
The human mind can learn, expand, and change, but many of the Expert systems are too rigid and don't learn.
人类智能可以学习，扩展和变化，但很多专家系统是刚性的，并且缺乏学习能力。
A new knowledge representation and decision method of machining technology is advanced for CAPP Expert Systems.
提出一种新的适用于CAPP专家系统的机械加工工艺知识表达和决策方法。
It also indicates applicability of knowledge-based pattern recognition principles to the design of expert systems in AI.
它表明基于知识的模式识别的原理可以应用到人工智能专家系统的设计中。
In this paper we try to explore the problems of the nonmonotonic reasoning and formalization used by the expert systems.
本文试图对专家系统使用的非单调推理及其形式化问题进行初步探讨。
Rule-based fault diagnosis, and especially expert systems, are already widely used in diagnosing faults of complex systems.
在复杂系统故障诊断中，基于规则的故障诊断特别是专家系统已得到广泛应用。
Quantitative problem solving system is one of the research topics in the area of artificial intelligence and expert systems.
定量问题求解系统，是人工智能和专家系统研究领域的一个重要课题。
An example is given to prove the possibility and merits of using this platform to develop greenhouse control expert systems.
实例证明了用该平台开发温室控制专家系统的可行性与优点。
The ARM based inference mechanism for expert systems include forward inference, inverse inference and bidirectional inference.
基于ARM的专家系统中的推理机制包括正向推理，逆向推理和双向推理。
There are few practical models for constructing the expert systems to solve fuzzy and uncertainty decision problems up to date.
迄今为止，很少有较为实用的模型用以建立解决模糊性和不确定性决策问题的专家系统。
In this paper, the characteristics and applications of a few kinds of expert systems which had been developed were briefly related.
本文对迄今已开发的各类专家系统的主要特点和应用结果作简要介绍。
According to researches, the relationship mapping inversion principle (RMIP) is a very important tool in developing expert systems.
研究表明，关系映射反演原则(RMIP)是开发专家系统的非常重要工具。
Using decision trees in expert systems is nothing new, but applying that idea to a crowdsourcing model might possibly be a stroke of genius.
在专家系统里使用决策树并非什么新鲜事物，但是把这种想法和大众外包（crowdsourcing）模式结合在一起实属天才之作。
This method was one of the key technologies in state detection and fault diagnosis expert systems of the propulsion system of spacecraft.
该方法是某飞船推进系统状态监测与故障诊断专家系统中的关键技术之一。
The model is suitable for establishing the expert systems that dispose the single-target decision problems with uncertainty and fuzziness.
这个模型用于构造处理模糊性和不确定性决策问题的单目标决策专家系统。
Inferring time in expert systems relates to its inference mode, knowledge-base architecture, computer performance, and provided languages.
专家系统的推理时间与其推理模式、知识库结构等因素有关。
It indicates also some essentials of development of expert systems and illustrates with examples its applications and points for attention.
指出开发专家系统的几个重要环节，并举例说明专家系统的应用范围及注意事项。
In the general directing-operation expert systems, the information of directing operation is often shown after the subprocess has finished.
在一般的操作指导专家系统中，操作指导信息是在子过程结束时给出的。
Prior to 1999, his career was focused on software and product development ranging from Expert Systems, OS/2, and Secure Internet Payment Systems.
年以前，他致力于从专家系统、OS/2 到网络安全付费系统的软件和产品开发。
This paper describes an approach to improving the problem solving ability of expert systems by using both heuristic and model-based reasoning.
本文介绍一种用结合启发性推理和基于模型的推理来改善专家系统问题求解能力的方法。
This paper describes an approach to improving the problem solving ability of expert systems by using both heuristic and model-based reasoning.
本文介绍一种用结合启发性推理和基于模型的推理来改善专家系统问题求解能力的方法。
应用推荐