推理机设计则采用混合推理策略。
提出一种新的耦合神经网络的实例与知识混合推理策略。
A new hybrid reasoning strategy based on case and knowledge integrated with neural network is proposed in this paper.
提出一种新的基于耦合神经网络实例与知识的混合推理策略。
A new hybrid reasoning strategy based on case and knowledge is proposed.
通过对基于规则、模型与案例推理的分析，给出了基于混合推理策略的半智能CAFD系统总体结构。
Through the analysis on ruled based and model based and case based reasoning, an overall structure of semi intelligent CAFD system based on mixed reasoning strategy is presented.
本文提出并实现了一种并行环境下的多智能体模型，该模型中的各智能体采用多层混合推理策略进行冲突协商。
This paper brings forward and realizes a multi agents model in concurrent environment. Agent in the model adopts a multi tier hybrid reasoning strategy to negotiate with each other.
本文提出并实现了一种并行环境下的多智能体模型，该模型中的各智能体采用多层混合推理策略进行冲突协商。
Agent in the model adopts a multi tier hybrid reasoning strategy to negotiate with each other. This strategy can avoid the disadvantages of a single strategy and bring into pl...
采用正反向混合推理控制策略及确定性理论来处理知识的不确定性问题。
The uncertainty problem of knowledge is solved by using the forward-backward inference control strategy and the certainty theory.
根据系统改造设计中所需的领域知识，建立了相应的专家系统知识库及表达形式，设计出正反混合推理的控制策略。
The correspond to oil field experience expert system knowledge base and expression have been established, positive and negative mixed inference control strategies have been designed in this system.
采用正向推理与反向推理相结合的方法，开发了用于挤压工步分析专家系统的混合控制策略。
A method of hybrid inference based on forward inference and backward inference strategies is achieved in designing extrusion step analysis expert system.
本文采用正反向混合推理机制，深度优先的控制策略建立了一个基于知识的汽车传动系故障计算机辅助系统。
This paper has set up a computer aided diagnostic expert system for automotive drive line by way of forward and backward combined reasoning and depth optimal theory.
论述了基于分级规划的工艺决策推理控制策略、混合式推理策略以及工艺决策知识和数据管理策略。
General reasoning strategy and hybrid reasoning strategies and layered strategy of knowledge management for process planning or process decision making problem are presented.
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.
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.
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