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A method for building pilot models is proposed based on Adaptive Neural Fuzzy Inference System.

0引言在驾驶员—飞机控制系统中,驾驶员数学模型的建立对整个系统的研究起着至关重要的作用。

A method for building pilot models is proposed based on Adaptive Neural Fuzzy Inference System.

提出了一类基于自适应神经模糊推理系统的飞机驾驶员建模方法。

A method for building pilot model s is proposed based on Adaptive Neural Fuzzy Inference System.

进而对已建立的驾驶员模型进行人机闭环系统仿真,结果表明,较之传统的传递函数模型,ANFIS模型与驾驶员实际操作输出之间的拟合程度更加理想。

But scientific study and truth discovery is not based on people' s names.A careful analysis of the so called paradox inference put forward by L yotard,who is a perisher of socialism faith,can ex-pose the wrong nature and the impairment to Marxism...

但是,科学研究和真理的展现并不是以人之冠名为标准的,仔细分析利奥塔这位&社会主义信念破灭者&所谓的&悖论推理&等观念,便能察觉到这种理论的本质错误和对马克思主义的危害性。

In the third study, the responsibility in Big Five personality was used as the target person" trait, combined with 8 situations to form three level of the independent variable, which were respectively behavior regularly changed in different situations, behavior randomly changed and behavior unchanged. And the perceivers" perception for the target person" personality consistency, and their inference for the target person" potential aim were used as dependent variables.

研究三采用实验法,选取大五人格特质中的责任感作为特质,从深度访谈的结果中抽取8种场景,组合为不同情境行为有规律变化、行为随机变化和行为一致三种情况作为自变量的三个水平,以知觉者知觉其人格一致性程度和对其行为背后的目标推论的程度为因变量进行研究,采用单因素方差分析进行检验。

Flow regime and void fraction are important parameter in gas-liquid two-phase flow, the relation of differential pressure signal coming from Venturi tube and the flow regime of gas-liquid two-phase flow was studied in this paper, A kind of flow regime identification method of gas-liquid two-phase flow based on Hilbert-Huang Transform and fuzzy inference was put forward, the familiar flow regime identification of gas-oil and gas-water two-phase flow was achieved.

两相流动是一个十分复杂的过程,参数较多,检测相当困难。流型、空隙率是气液两相流中非常重要的参数,而且测量比较困难,还影响两相流其它参数的测量。

Therefore,the Bayesian network inference based on CBR(Case-based Reasoning) is proposed in this ***,constructed a suitable description of cases using Bayesian network,assessed and retrieved the cases through technology of probability spreading,achieved machine learning through revising the acquired case and updating the conditional probability of Bayesian networks.

于非,引入了基于案例的推理方式—CBR,降出了基于CBR(Case-basedReasoning)的Bayesian推理,当用Bayesian网构造一个闭于案例的适开描述,且用概率传布技巧评价和检索案例,并通功建改未获得的案例和更旧Bayesian网络须要的后降概率入行教习。

In this paper, we present a new idea of setting calculation that is "Rule Driving". Using this idea, inference machine and setting-calculation model are developed successfully.

文中还提出了一种&规则驱动&的整定计算思想,并使用这一思想开发系统的推理机和整定计算模块。

Here "吧" is used at the end of the sentence to express a tone of inference.

这里的&吧&用在句末,表示推测的语气。

Compared with the Rule Based Fuzzy Cognitive Map, the HFCM avoids the combinatorial rule explosion problem as the scale and complexity of its rule base arc reduced from the geometrical level to the arithmetical level, and improves the representation and inference performance of FCM.

与基于规则的FCM相比,HFCM规则库的规模及复杂度由几何级降至算术级,解决了组合激增问题,提高了FCM的表示与推理性能。

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