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network reasoning
相关语句
  网络推理
    Design of EJB-based Network Reasoning Machine Component
    基于EJB的AES网络推理机组件的设计
短句来源
    A practical method by combining GA with ANN is used to solve the optimal problems in complicated engineering. The method used not only the nonlinear mapping,network reasoning and prediction of neural networks but also the global optimal characteristics of genetic algorithm. It can be widely used to solve various complicated engineering problems that target functions can't be expressed by apparent functions of decisive variables.
    本文将遗传算法与神经网络相结合,构成GA-ANN法,协同求解复杂工程中的优化问题.该法既利用了神经网络的非线性映射、网络推理和预测的功能,又利用了遗传算法的全局优化特性,可广泛地应用于目标函数难以用决策变量的显函数形式来表达的众多复杂工程问题中.
短句来源
    An important development direction in Agricultural Expert System(AES)is network reasoning with distributed component technology. This paper first introduces the essential conceptions of EJB,and then designs AES network rea-soning machine component with EJB architecture,it can be used in different platforms.
    农业专家系统中的一个重要发展方向是用分布式组件技术来进行网络推理,论文首先介绍了EJB的基本概念,然后利用EJB体系结构设计出了农业专家系统网络推理机组件,实现了专家系统网络推理的跨平台性。
短句来源
  “network reasoning”译为未确定词的双语例句
    The structure and implementation of the fuzzy neural network reasoning mechanism based on the fuzzy logic
    基于模糊逻辑的模糊神经网络推理机结构及其实现
短句来源
    A Parallel Computing Model on Belief Network Reasoning
    一种信度网推理的并行计算模型
短句来源
    Also, the experiments show that when the HME, which is a mixture of the fuzzy network and the expert system based on knowledge, is used to diagnose the fault of the boiler, some points can be attained: both symbol reasoning and nerve network reasoning can be combined very well. This system has the quality of a clear hierarchy and a high efficiency for reasoning.
    同时,实验结果还表明将模糊网络技术与基于知识的专家系统技术结合的分层混合专家网络应用于锅炉故障诊断,能实现符号推理与神经网络推理的有机结合,层次清晰、推理效率较高。
短句来源
    Following to launch and describe with basic frame of expert system, one that is with knowledge obtain, application, to maintain three parts combine Petri net knowledge of knowledge, Study fault propagate to obtain model, Petri network reasoning method and trouble diagnose the systematic framework of the expert system separately.
    后面以专家系统的基本框架展开论述,以知识的获取、知识的运用、知识的维护三部分结合Petri网,分别研究了故障传播模型的获取,Petri网推理方法和故障诊断专家系统的系统架构。
短句来源
    Petri network reasoning method combine trouble tree forward reasoning reverse algorithm of reasoning mainly, The concrete instance of connection is analysed and compares;
    Petri网推理方法主要结合故障树正向推理反向推理的算法,联系具体实例进行分析和比较;
短句来源
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The structure of a fuzzy neural network reasoning mechanism based on the fuzzy logic and neural network is first discussed. Then the method of using the neural networks learning ability to improve the accuracy of fuzy rules and using the fuzzy neural networks node information to initialize the networks weight is introduced. Finally, an example of the application of the fuzzy neural network reasoning mechanism in data fusion to identify the target platform is given.

讨论了基于模糊逻辑与神经网络的模糊神经网络推理机的结构;给出了将模糊产生式规则转换为相应模糊神经网络的方法;深入探讨了采用欧氏距离作为误差函数的改进BP算法;给出了在数据融合中使用该模糊神经网络推理机进行目标平台识别的例子.

A practical method by combining GA with ANN is used to solve the optimal problems in complicated engineering.The method used not only the nonlinear mapping,network reasoning and prediction of neural networks but also the global optimal characteristics of genetic algorithm.It can be widely used to solve various complicated engineering problems that target functions can't be expressed by apparent functions of decisive variables.

本文将遗传算法与神经网络相结合,构成GA-ANN法,协同求解复杂工程中的优化问题.该法既利用了神经网络的非线性映射、网络推理和预测的功能,又利用了遗传算法的全局优化特性,可广泛地应用于目标函数难以用决策变量的显函数形式来表达的众多复杂工程问题中.

Fuzzy neural network based expert system was applied to the artificial intelligent control of blank holding force (BHF) in sheet stamping process. The paper explains the construction of fuzzy neural network and the fuzzy neural network reasoning mechanism in detail. Main equipment of BHF test and optimal control system is introduced in detail, by which the rule of cup with flange forming process was studied.

应用模糊神经网络专家系统实现了冲压成形过程中压边力的智能化控制 ,对系统模糊神经网络的构造和模糊神经推理机制进行了详尽的说明 ,介绍了压边力模糊神经网络系统优化控制的设备及实现 ,并利用其对带凸缘的圆筒件拉深控制规律进行了研究

 
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