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推理模型

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A search strategy based on switch group is devised in this paper, which enhances the efficiency and accuracy of search;establishing a fast ratiocinating fault restoration model which is based on EMS data, and adopting the search strategy to form the connecting relation of the equipments in the power system dynamically, so it is not necessary to do special maintenance to the system when the frame of the network changes;perfecting the fault restoration modules and ensure that the restoration scheme accords with the situation of locale and the operating regulations and the system is practical;adopting flow to check the security of all the restorable paths of the load island, which provides the gists to choose the restorable paths.

本文提出了一种基于开关刀闸组的搜索策略,提高了搜索的效率和准确性;建立了基于EMS数据的快速推理故障恢复模型,通过网络搜索动态生成系统内各设备的网络连接关系,网架结构变化时无需对该系统特殊维护;完善了故障恢复步骤,使恢复方案确实符合现场实际情况及操作规程,具有实用性;采用潮流计算校验孤岛各恢复路径的安全性,为各条恢复路径选择提供依据。

Expert system ; pattern recognition ; thinking model ; incomplete-reasening and regressing ; knowledge-based system

专家系统;模式识别;思维模型;缺言推理和回归;基于知识的系统

Three kinds of arm's robust control theorys are designed: the torque control based on FNN controller, the computed torque control with sliding mode compensation and the computed torque control with WNN compensation. FNN syncretizes the reasoning ability of fuzzy control and parameters' self-learning ability of neural networks. It does not depend on the precision of the mathematical model, and can overcome the impact of the uncertainty effectively. So FNN is regarded as the manipulator controller and used to the trajectory tracking of arm control. The computed torque control with sliding mode compensation is designed.

在此基础上,研究了机械手臂的鲁棒控制法,分别设计了基于模糊神经网络的机械手臂力矩控制方法、基于滑模变结构控制补偿的机械手臂力矩控制方法以及基于小波神经网络补偿的机械手臂力矩控制方法,具体内容如下:模糊神经网络融合了模糊控制的推理能力和神经网络的参数自学习能力,它不依赖于对象精确的数学模型,能有效地克服被控对象存在的不确定部分的影响,本文把模糊神经网络作为机械手臂的关节伺服控制器,通过对网络参数的学习训练来调整机械手臂关节的控制力矩,实现对机械手臂的轨迹跟踪控制。

The paper introduces a kind of adaptive neural-fuzzy inference systems based on T-S model to deal with the modeling problem of the complex soda carbonization process.

针对纯碱碳化过程复杂、建模难的特点,提出一种基于T-S模型的自适应神经模糊推理系统建模方法。

Credal network is one of the graphical tools for knowledge representation and reasoning under uncertain conditions,where probability values may be qualitatively expressed by intervals or inequality.

Credal网络是研究不确定环境下知识表示和因果推理的一种图模型,其条件概率值可以用不精确的区间或不等式定性地表示,使得表达方式更加灵活有效。

Based on the traditional expert system, the integrated module of neural network ensembles is applied in this model in order to insure the automatic acquisition of knowledge and reasoning.

该模型在传统专家系统基础上,增加了神经网络集成模块,以解决知识的自动获取和推理问题。

A meta—rule—based muti—layer cubic matching model is set up which makes complicated frame—based inference posssible.

作者首次建立了一种基于元规则的立体多层匹配模型,实现了复杂的框架推理。

Based on it, a practical model applied for the fault diagnosis of power transformer is constructed.

介绍了一种在覆盖集理论框架上集成模糊推理的诊断方法,在此基础上建立了应用于电力变压器故障诊断的实用模型。

The main aim is to make use of research accomplishment of cognitive psychology and psychological measurement to rebuild the factors structure of Raven standard reasoning test, to improve the structure of its original single-factor model.

本研究的主要目的在于,运用认知心理学和心理测量学的研究成果,对瑞文标准推理测验的因素结构进行重构,完善其原来的单因素结构模型。

The result interpretation of Raven standard reasoning test depends on a measurement model of single factor, it is impossible to explain accurately individual differences and provide interviewee with diagnostic information.

瑞文标准推理测验结果的解释依赖一个单因素测量模型,只能给被试提供智力的等级,不可能提供针对性的诊断信息,无法准确地解释个体差异。

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从有历史以来,英国,在此地早期居住的是凯尔特人,已经被征服了三次。

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