提出了一种基于粗集的缺省规则挖掘模型，以利于在信息不完备情况下进行推理和决策。
A rough set model to mine default rules was presented in order to reason and solve the decision question with incomplete information.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
介绍了一种基于实例和规则的集成推理模型，并给出其在机械产品协同设计支持系统中的应用。
This paper summarizes CBD techniques and presents an integrated reasoning model based on CBR and RBR, and also introduces its application to mechanical product cooperative design.
基于涌现原理，提出了三种模式分类模型：模型推理、特征融合和模式联想。
Bring up three pattern classifying models: pattern reasoning, character fusions and pattern associated based on the principle of emerge.
研究表明，基于多色集合理论建立的机械产品概念设计模型易于形式化描述和推理，方便计算机编程。
Results show that the conceptual design model of mechanical product based on polychromatic sets can be described and reasoned with formal method, and programmed easily.
具有分支时序的主体BDI模型没有一个统一的时间度量与现实中的时间相对应，不方便进行关于时间相关目标的推理和实现基于时间相关目标的协同。
Owing to the lack of a unified time metric in the BDI model with branching temporal, agents can not make decisions about the goals with time requests and coordination based on such goals.
本文阐述了基于部件模型的定性推理方法的基本思想和过程，并对系统行为的因果解释方法进行了分析。
This paper describes the main idea and process of qualitative reasoning based on component model, and analyses the causal interpretation methods of system behaviors.
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.
通过对设计重用和基于实例推理机制的研究，提出了基于知识产品开发过程模型重用的建模方法，并对其进行了详细描述；
Through research on design reuse and Case-Based Reasoning, modeling method based on product development process model reuse is presented and described in detail.
同时系统采用常识推理模型和基于面向对象的知识部件库专家系统结构。
At the same time, the system USES General knowledge reasoning model and Object-Oriented based knowledge part warehouse Expert system structure.
基于模糊推理技术和基于可信度方法实现非精确推理模型的设计。
Realization the the imprecise reasoning model based on the Fuzzy reasoning technology and the Certain factors method.
研究了基于本体代数的知识模型集成和基于本体推理、查询的知识模型处理。
The integration of knowledge model is based on ontology algebra and the process of knowledge model is based on ontology inference and query.
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of the faults in the ignition system of automobile engine.
本文在向量空间模型和概率推理网络的基础上提出了一个基于关键词与概念相结合的混合信息检索模型。
We bring forward a hybrid model that is based on a combination of keywords and concept. The hybrid model is built on vector space model and probabilistic reasoning network.
提出了一个基于混合智能的电火花加工电参数学习模型，它模仿熟练操作者的决策过程，由工艺数据库、加工规则库、学习模块和推理模块组成。
A learning model with hybrid intelligence for the electrical parameter in EDM which imitates a decision making process of a skilled operator was described.
同时基于自适应神经模糊推理系统建立了岩体力学参数与边坡抗滑力和下滑力的映射模型，分析得到抗滑力和下滑力的统计特征。
The model is used to perform the numerical simulation of slope stable state, to acquire the data for adaptive neuro-fuzzy inference system(ANFIS) analysis.
该模板模型可作为现有模型的分析模板和新的基于产生式规则的不确定推理模型研究与构造的基本框架模板。
It can be used as a frame to analyze current uncertainty model or research and construct a new uncertainty reasoning model.
本文构建了一个基于粗糙集和规则推理的贝叶斯网模型，并将其运用于现实病历数据进行挖掘工作。
This paper builds a Bayesian inference network model based on the Rough Sets and Reason Rules and apply it to fulfill the medical data mining work.
进一步研究了模型的性质使其有效地应用于本体和基于本体的推理系统的构建。
Features of this model are discussed in details to apply to the construction of the ontology and the ontology-based reasoning systems.
文章提出了毛纺织工艺设计智能化模型，通过基于案例(CBR)和基于规则的推理(rbr)以及人工神经网络(ANN)等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model (WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
为了解决基于广义三棱柱(GTP)的三维地层模型自动建模问题，提出了一种三维地层构造知识推理规则和建模方法。
In order to solve the 3d automatic modeling problem of strata based on Generalized Tri-prism (GTP), a kind of 3d stratum structure knowledge inference rule and modeling method is put forward.
在系统实现中，采用基于关系型数据库和C -F模型进行知识库的设计，用正反向混合推理控制策略进行不确定性推理。
In implementing of the system, database technique and C-F model are combined to design knowledge base. The uncertainty problem is solved by using the forward-backward inference control strategy.
理计算模型MASIM以及基于MASIM的社会计算系统实例，并以此阐述建立社会推理机制和社会计算系统的若干技术方面。
We introduce an example of social computing system based on MASIM, and discuss several technical issues in building social computing system and its social inferential mechanism.
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of…
提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（C BR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model(WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
本文提出将基于人工智能技术、运用知识和推理的专家系统与基于数字仿真技术、运用数据和模型的仿真模型体系相集成的智能化决策支持系统CDSS。
The paper presents the conceptual design and a prototype implementation of a decision supporting system CDSS for China's national demographic-economic development strategic design.
为了解决这一问题，运用一种基于模糊逻辑的近似推理和决策方法，建立了详细的城市中压配电网供电能力优劣性评估模型。
This approach provides a detailed superiority-inferiority model for medium-voltage urban distribution networks by utilizing approximate-reasoning and decision-making methodologies of Fuzzy Logic.
为了解决这一问题，运用一种基于模糊逻辑的近似推理和决策方法，建立了详细的城市中压配电网供电能力优劣性评估模型。
This approach provides a detailed superiority-inferiority model for medium-voltage urban distribution networks by utilizing approximate-reasoning and decision-making methodologies of Fuzzy Logic.
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