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fuzzy theory相关的网络例句

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与 fuzzy theory 相关的网络例句 [注:此内容来源于网络,仅供参考]

The method applies fuzzy control theory to obtain the appropriate velocity and angular velocity by selecting optimal parameter of fuzzy logic controller.

该方法通过合理选择模糊控制器的参数和优化规则库,使其输出合适的线速度和角速度,从而控制移动机器人准确地跟踪预规划的路径。

First, all the risk factors are fuzzily synthesized by the theory of fuzzy synthetic evaluation, Then, these fuzzy syntheti...

首先,利用模糊综合评价的理论把各个风险因子进行模糊综合,然后,把所得的模糊综合评价向量转化为模糊分值,以此分值来代表该风险因子的风险值。

In order to increase the diversity of population, MFCMGA uses idiotypic immune network theory to improve the selection operator of SGA. Meanwhile in order to decrease the randomicity of SGA, the crossover probability, crossover position and mutation probability are adjusted dynamically by using fuzzy inference, which is based on analyzing the heuristic fuzzy relationship between algorithm performance and evolutionary parameters from the viewpoints of environment, population, individual and gene.

该算法利用免疫系统独特性网络学说,改进标准遗传算法选择运算子,提高了种群多样性;同时从环境、种群、个体和基因角度,全面分析算法寻优性能和各种进化参数的启发式模糊关系,采用模糊推理动态调整交叉率、交叉位置和变异率,减小了标准遗传操作的随机性。

In the bid to increase the diversity of population, MFCMGA uses idiotypic immune network theory to improve the selection operator of SGA. Simultaneously, in order to decrease the randomicity of SGA, the crossover probability, crossover position and mutation probability are adjusted dynamically by using fuzzy inference, which is based on analyzing the heuristic fuzzy relationship between algorithm performance and evolutionary parameters from the viewpoints of environment, population, individual and gene.

该算法利用免疫系统独特性网络学说,改进标准遗传算法选择算子,提高了种群多样性;同时从环境、种群、个体和基因角度,全面分析算法寻优性能和各种进化参数的启发式模糊关系,采用模糊推理动态调整交叉率、交叉位置和变异率,减小了标准遗传操作的随机性。

The research contents with main full text and research results are summarized as follows:First of all , estimate the inaccurate difficult problem consuming time to the cost while making products quotation course, improve the existing index and predict the law levelly and smoothly with the fuzzy mathematics theory, propose the fuzzy similar comparative law builds and constructs the cost to appraise models, thus the speed and precision of improving the cost and estimating greatly .

全文主要的研究内容和研究成果概括如下:首先,针对制造产品报价过程中成本估算不准确、耗时的难题,用模糊数学理论改进现有的指数平滑预测法,提出模糊相似比较法建构成本估价模型,从而大大提高了成本估算的速度和精度。

This article introduced the fuzzy logic and the artificial neural networks elementary theory, then unifies both carries on the superiority supplementarily, has constructed the fault diagnosis method which one kind of artificial neural networks and the fuzzy reasoning technology unify.

本文介绍了模糊逻辑和人工神经网络的基本理论,然后将两者结合起来进行优势互补,构建了一种人工神经网络和模糊推理技术相结合的故障诊断方法。

ABSTRACTS In this thesis the diagnostic expert system theory and methodology are studied, with the emphasis on the fuzzy knowledge representation, uncertain reasoning and diagnostic knowledge acquisition. The applications of neural networks in the fault diagnosis for rotating machinery are also studied. A fuzzy diagnostic expert system for turbocompressor called ETHYLENE is implemented.

本文以大型旋转机械为研究对象,着重研究了旋转机械故障诊断专家系统的理论和方法,包括模糊知识表达、不确定性推理与诊断知识获取等问题;本文还研究了神经网络模型及其在旋转机械故障诊断中的应用;并研制了一个透平压缩机组模糊诊断专家系统。

Based on the evaluation of rock mechanics properties of undrilling formation, a fuzzy optimization model for selecting the best similar layers with the same rock mechanics properties was established by applying theory of fuzzy optimization. Firstly the best similar layer located the undrilled area was chosen by the model. Secondly the performance of the bit used in the selected layer was evaluated by economic benefit index.

该方法在待钻地层岩石力学性质评价的基础上,首先应用模糊优选理论建立了地层岩石力学性质相似层位的模糊优选模型,用其进行相似层位的优选,然后应用经济效益指数法对相似层位的钻头性能进行评价,最后给出合理的钻头选型结果。

The model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters baaed on the theory of neural network is adopted .

该模型采用基于神经网路理论的模糊模型参数辨识方法,很适合于复杂系统的模糊预测和控制。

To overcome the bad effect resulting from the nonlinearity time-variability and uncertainty on autopilot system performance during the motion process of aerodynamics missile, and to further improve the flight quality of missile, the autopilot system and used control method are researched. Firstly the integrant structure of system is discussed; then baaed un introducing the traditional PID method, controllers for missile attitude motion are designed respectively using fuzzy self-turning PID method and neural network self-adaptive PID method; at last a simulation experiment is finished. By comparing the simulation results that the designed controllers have good qualities is showed, and the feasibility and validity of applying fuzzy control and neural network into automatic control of aerodynamics missile is confirmed, and the base that other nonlinear control theory can be combined with the traditional control for missile to further improve the performance of missile control system is established.

为了克服飞航导弹运动过程中的非线性、时变性和不确定性对自动驾驶仪系统性能的不良影响,进一步提高导弹的飞行质量,对自动驾驶仪系统及其采用的控制方案进行了研究;首先对系统的整体结构进行了分析,然后在介绍经典PID方案的基础上,分别采用模糊自调整PID方案和神经网络自适应PID方案设计了导弹姿态运动控制器,最后进行了仿真实验;仿真结果的对比展示了所设计控制器良好的品质,验证了将模糊控制和神经网络应用于飞航导弹自动控制中的可行性和有效性,为其它非线性控制理论与导弹传统控制相结合以进一步提高导弹控制系统的性能奠定了基础。

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