1、

An improved multi-step action Q-learning control algorithm was proposed for the process of Saccharomyces cerevisiae fermentation, which combines multi-step action Q-learning algorithm and a fuzzy control gain parameter selector.

通过对强化学习控制算法以及酿酒酵母发酵过程进行研究,提出一种改进的多步行为Q学习控制算法,该算法由多步行为Q学习算法和一个模糊控制增益参数选择器组成。

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2、

Firstly, this algorithm enhanced the original image in fuzzy way and designed one classifier according to its and its 8-neighbor gray levels; secondly, classified each pixel into the proper edge class by computing and comparing its greatest fuzzy truth of membership;

首先对图像进行模糊增强,然后依据当前像素及其8-邻域像素的灰度,设计了一个分类器,通过计算相对于该分类器的模糊隶属度函数值,对像素进行边缘分类;

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3、

Online Optimization Algorithm of Fuzzy Predictive Control Based on T-S Model

基于T-S模型的模糊预测控制在线优化算法研究

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4、

Moreover, based on this modified fuzzy system, the paper presents an on line identifying algorithm with which the on line parameter estimation of nonlinear system is realized.

在被调整模糊系统基础上,提出了一种非线性系统在线估计参数的在线辨识算法。

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5、

Transfer function was deduced afterwards, and the system stability analysis by employing the MATLAB software indicated that the stability margin was satisfactory. Finally, a fuzzy PID switch control strategy optimizing by offline ant colony algorithm was presented, and it was used to control the pressure.

推导出系统传递函数,在MATLAB环境下分析了系统稳定性,结果表明系统具有较大的稳定裕度。最后,提出了一种基于蚁群算法离线优化的模糊PID开关切换控制策略,应用于系统稳压控制。

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6、

This paper implemented an improved K-Nearest Neighbor ( Fuzzy KNN) algorithm in which Fuzzy Adaptive Resonance Theory ( ART) is applied in K-NN classification to make a new algorithm.

提出了一种K-最近邻改进算法,该算法用模糊自适应共振理论(Fuzzy ART)对K-最近邻的训练样本集进行浓缩,以改善K-最近邻的计算速度。

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7、

A new fuzzy k-nearest neighbor codebook design algorithm of vector quantization

一种新的模糊K邻域矢量量化码本设计算法

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8、

Results Fuzzy K means clustering algorithm can segment white matter, gray matter and CSF better from the MR head images.

结果模糊K-均值聚类算法能很好地分割出磁共振颅脑图像中的灰质、白质和脑脊液。

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9、

The algorithm uses the result of K means clustering to guide the initiation of fuzzy clustering so that the iteration number of fuzzy clustering can be reduced obviously, thus the speed of fuzzy clustering can be accelerated greatly.

该算法利用K均值聚类结果指导模糊聚类的初始化,使模糊聚类的迭代次数明显减少,从而极大地提高模糊聚类的速度。

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10、

This method uses B-spline basis function as fuzzy membership function, neural network to realize fuzzy inference, and BP algorithm to train network.

该方法采用B样条基函数作为模糊隶属函数,利用神经网络实现模糊推理,并采用反向误差传播算法对网络进行训练。

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11、

This system senses the amount of rainfall by the infrared rain sensor, and adjusts the speed of wiper based on the fuzzy control algorithm and pulse width modulation technology.

该系统通过红外雨量传感器检测雨量大小,使用模糊控制算法和脉宽调制技术调节雨刷器的速度;给出了系统的总体结构和具体设计方法。

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12、

In chapter four, the cooperated partner matching model and algorithm for members of die& mould enterprises is specialized, and the overall multiple target evaluation method based on AHP is used, firstly, and then the fuzzy decision is adopted to choose optimum cooperated partner.

第四章着重探讨了模具企业网上供应链成员企业中的合作伙伴匹配模型和算法。采用AHP法进行多目标综合评价,再通过模糊决策进行候选伙伴的优选。

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13、

Fusion Algorithm for Target Tracking Based on the Fuzzy in Nonlinear System

基于模糊技术的非线性系统目标跟踪融合算法

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14、

Research on Multi-Agent Dynamic Task Allocation Algorithm and Based on Dynamic Fuzzy Set

基于DFS的多Agent动态任务分配算法研究

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16、

Studies have shown fuzzy Genetic Algorithm sense of organization since of algorithm and adaptivity can optimize the related regular excavating of space greatly by oneself, make space database is it have high stupid getting excellent, of overall importance, optimum and high efficiency to excavate.

研究表明模糊遗传算法的自组织性、自适应性和自学习等特性能够极大地优化空间关联规则的挖掘,使空间数据库挖掘具有更高的鲁棒性、全局性、最优性和更高的效率。

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17、

A New Fuzzy Clustering Algorithm of Categorical Data Set Based on the Kernel Method

基于核方法的分类型属性数据集模糊聚类算法

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18、

Application of Fuzzy Control Algorithm in Motor Governing System of the Testing Bench for Fuel Injection Pumps

模糊控制算法在喷油泵试验台电机调速系统中的应用

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19、

Research on Algorithm of Fuzzy Control and Digital Filter for AMB

磁力轴承的模糊控制与数字滤波算法研究

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20、

We discuss two kind of theory of Fuzzy Support Vector Machines ( FSVM) and improve training algorithm of one FSVM which import fuzzy gene in training process, and then put forward edge-effect training algorithm for FSVM.

讨论了二种模糊支持向量机的原理,并对训练过程中引入模糊引子的模糊支持向量机训练算法进行了改进,提出边缘效应训练算法的模糊支持向量机训练算法。

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