自适应算法中，不但跟踪误差而且辨识误差都参与模糊逻辑系统中的参数调节。
In the adaptive algorithm, the parameter adjusting laws of the fuzzy logic systems are derived by the tracking error and the identification error.
提出了一种模糊自适应卡尔曼滤波算法。
An algorithm of adaptive fuzzy Kalman filtering is presented.
继而研究了模糊artmap网络用于特征层融合识别的方法，并提出了一种网络警戒参数自适应调整新算法。
Next the general method of applying fuzzy ARTMAP model to feature level fusion is also expounded and we put forward a learning algorithm with adaptive vigilance parameters for each cluster.
用基于T - S模型的自适应模糊聚类辨识算法对系统进行辨识。
An adaptive fuzzy clustering identification algorithm is employed to get the T-S fuzzy model of a system.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
为了对在线学习文档进行分类，本文根据自适应谐振理论给出了一个半监督学习模糊art模型(SLFART)及其算法。
For learning document classification on line, the paper gives the semi-supervised learning fuzzy ART model (SLFART) based on adaptive resonance theory and the models algorithm.
在静态的微粒群多元最优信息规划模式的基础上，提出了微粒群多元最优信息的模糊自适应规划算法。
Fuzzy adaptive programming algorithm based on particle swarm multi-optimum is proposed on the basis of the static particle swarm multi-optimum information programming mode.
同时还给出了一种自适应控制算法，利用它可以调整模糊规则以适应系统的时变性。
An adaptive control algorithm is given to adjust fuzzy rules to adapt system change.
模糊控制改进了自适应逆控制系统中LMS算法的性能，解决了恒定步长因子带来的收敛速度和失调量之间的矛盾。
Fuzzy control improves the performance of LMS algorithm and resolves the contradiction between convergence velocity and misadjustment which is brought by fixed step factor.
提出一种自动的、基于模糊颜色聚类的自适应颜色传输算法。
An automatic color transfer algorithm based on fuzzy color clustering is proposed in this paper.
针对焦炉温度的控制特点和难点，提出了模糊免疫自适应pid控制算法并对它进行了详细的分析设计。
According to the characteristics and difficulties of the coke oven control, a fuzzy immune adaptive PID control method is brought forward and designed in detail.
热处理炉空气、燃料的控制均采用遗传算法优化的PI控制，炉体温度控制采用自适应的遗传模糊控制器。
Air and fuel controlling of this stove are realized by PI controller, and temperature controlling adopts self adaptive genetic fuzzy controller.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
针对非线性系统，在PRAM计算模型上，探讨基于模糊内模自适应控制算法的并行处理。
Based on PRAMcomputing model, the parallel processing for adaptive control algorithm based on fuzzy internal model, which aimed at nonlinear system, is discussed.
针对双色红外成像制导系统中多传感器目标跟踪的实际问题，提出了一种基于模糊推理自适应加权融合的目标跟踪算法。
Aim at the problem of multi-sensors target tracking in the dual band IR imaging system, a method of target tracking is presented using adaptive weighting fusion based on fuzzy inference.
为了在抑制噪声的同时保护图像的细节，提出了一种基于模糊函数的自适应平滑约束图像复原算法。
A new degraded image restoration algorithm which USES adaptive smoothness constraint based on fuzzy functions is used, is proposed.
本文提出一种带有高斯模糊器的自适应模糊系统(GAF)，基于PID控制的成功经验数据，通过反向传播学习算法对其进行参数寻优。
This paper introduces a new adaptive fuzzy system with Gauss fuzzier (GAF), optimizing the parameter based on the data from PID by back-propagation algorithm.
本文从混凝土工业实际情况出发，应用模糊集理论，提出一种模糊算法来解决自适应机构的设计方法。
In this paper, a fuzzy algorithm has been presented for designing an adaptive mechanism, with the actual situation of concrete industry taken into consideration.
该算法以最大模糊熵作为参数选取的准则，使模糊变换参数根据处理对象不同自适应选取。
This algorithm USES maximum entropy as criterion for parameters selection in the membership function, so the parameters can be decided adaptively according to different targets.
针对船舶航向控制中模型参数变化引起的不确定性问题，提出一种基于动态神经模糊模型(DNFM)的自适应控制算法。
A dynamic neural fuzzy model (DNFM) based adaptive control algorithm for ship course control was developed to overcome uncertainties arising from changes of model parameters.
仿真结果表明，该动态模型能够预测输出电压。响应曲线显示出自适应模糊控制算法能够较好控制燃料电池有功和无功功率的输出。
The response curves indicate that the adaptive fuzzy control is able to control the active output power and the reactive output power of the fuel cell.
为了提高机载光电跟踪伺服控制系统的控制性能，提出了一种基于模糊推理的变论域自适应控制算法。
In order to improve the control performance of airborne electro-optical pointing and tracking systems, a variable domain control system based on fuzzy inference, is presented.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
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