• 两个产生总结全部语言解析器

    The entire language parser has been summed up in two productions.

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  • 清单5.expression产生式

    Listing 5. The expression production.

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  • 解析产生式方法例程判断采用路经

    This is the routine used by the parser production methods to determine which path to take.

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  • 实际上queryTerm另一个产生方法

    QueryTerm in fact, is another production method.

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  • 知识表示使用产生规则

    The production rule was used for knowledge representation.

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  • 而该语言布局使得易于添加产生式规则行为

    The layout of the language also makes it easy to add production rules and behaviors.

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  • 一类AQ算法,知识表示产生规则

    The other is AQ, in which the knowledge representation is production rules.

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  • 现在就让我们定义queryTerm() 产生式

    Now, let us define the queryTerm() production.

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  • 并行匹配并行处理产生式系统重要内容之一。

    Parallel match is an important concept in the parallel processing of production systems.

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  • 为了表达这一点我们需要编写一个解析规则称作产生

    To express this, we need to write a parsing rule, also known as a production.

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  • 基础构建一个基于产生规则专家系统

    On the base of this, an expert system based on producing rule is structured.

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  • 采用产生规则框架表示法为主知识表示方法

    Production Rule and Frame are the main methods to represent knowledge in this model.

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  • 如清单16 中所这些变量产生第一对花括号之间定义

    These are defined between the first pair of braces in the production, as shown in Listing 16.

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  • 本文提出种考虑模糊产生式规则具有不确定因素的模糊控制方法

    A new fuzzy control approach for fuzzy production rules with uncertainties is presented in the paper.

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  • HMM产生式模型的典型代表MECRF属于条件概率模型。

    HMM is a typical generative model. ME and CRF both belong to conditional model.

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  • 介绍一种基于产生式知识表达变电站操作自动生成系统

    An expert system for automatic generating operation sequences of substation is introduced, which is based on generative knowledge presentation method.

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  • 确定采用产生式规则即“IF - THEN”语句表达专家知识

    We decided to adopt "IF-THEN" phrase to express expert knowledge.

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  • 开发产生系统并行加快产生系统执行速度主要有效方法

    Developing the parallelism of production systems is the main and effective technique to speed up the execution speed of production systems.

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  • 知识获取广泛吸取历史经验专家知识,采用产生式规则进行知识表示。

    The information database comprises the historical experiments and the expert knowledge, and is described by the production rules.

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  • 系统采用了基于权重规则基于产生式规则和基于模型知识表示方法;

    The weight-based rule, the product rule and the model-based rule is established to present the knowledge.

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  • 最后谓词逻辑和产生表示法相结合作为知识库预警规则描述方法

    At last predicate logic is combined with production KR, as which a method to describe the warning rule in the knowledge base.

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  • 论文设计了三个实验旨在验证比较这两关于产生式建立主要观点

    Three experiments are run in this disquisition to compare two different viewpoints about establishment of productive rules and production system.

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  • 林火蔓延多模型预测系统根据产生式规则推理原则建立的多模型预测系统。

    The multi-models forecast system for the forest fire spread acts according to the production rule for the inference principle establishment.

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  • RETE算法应用产生系统,迄今为止被认为性能最好匹配算法。

    RETE, which is applied to production systems, is so far considered as the match algorithm with the best performance.

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  • 评价知识表示方面采用面向对象产生规则结合混合表示方法

    The evaluation knowledge of part manufacturability was expressed by the hybrid of frame and production rule based on an object oriented approach.

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  • 并将模糊综合评判产生式规则融合利用复合推理机制提高预测结果准确性

    The hybrid inference mechanism included dynamic fuzzy evaluation and production rules obviously improve the veracity of the forecast results.

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  • 条件机场种无向模型,它具有产生模型最大马尔可夫模型优点。

    Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).

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  • 最后采用谓词逻辑和产生表示法相结合方法作为知识库中的推理规则描述方法。

    At last predicate logic is combined with production KR, as which a method to describe the reasoning rule in the knowledge base.

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  • 并将模糊综合评判产生式规则融合利用复合推理机制提高预测结果准确性

    The hybrid inference mechanism included dynamic fuzzy comprehensive evaluation and production rules obviously improves the veracity of the forecast results.

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  • 基于产生式规则探讨了领域关系不确定性不确定关系建模过程中的传递合成

    Based on the production rules, the transfer and synthesis of the domain relation uncertainty are discussed in the process of uncertain relation modeling.

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