Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
A fuzzy counter propagation neural network (FCPN) based data fusion approach and a modified fuzzy counter propagation neural network (MFCPN) fusion architecture are proposed for target recognition.
针对数据融合和目标识别的特点，提出了基于模糊对向传播网络的融合目标识别方法和改进的模糊对向传播网络(MFCPN)融合结构。
Considering the radiation problem of filtering resulting from the inaccurate model of the Kalman filter, data fusion algorithm based on the fuzzy Kalman filter is advanced.
并针对卡尔曼滤波因模型不准确而导致的滤波发散问题，提出了模糊卡尔曼的数据融合算法。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
The paper was concerned with the design of a fuzzy data fusion approach based on robust guaranteed cost filtering for uncertainties.
结合研究存在不确定因素的信息融合问题，提出了一种基于鲁棒保性能滤波的模糊信息融合方法。
A fuzzy theory based adaptive data fusion algorithm is used.
采用一种利用模糊理论的自适应数据融合算法。
Focused on fault diagnosis, a grey fusion method and a fuzzy fusion method are proposed based on data fusion and criteria fusion. Then the parallel decision fusion model is presented.
针对故障诊断过程，在数据融合与规则融合基础上，提出了灰色融合和模糊融合两种信息融合方法，并给出了并行决策融合模型。
A new kind of fiber flame detector is introduced. The components and characteristics of this system are expounded. The multi-signal process based on data fusion of fuzzy reasoning is given out.
介绍一种新型光纤燃煤炉火焰检测器，阐述其系统组成及特点。并提出了基于模糊推理的多信号融合处理方法。
This paper made use of statistical results of vulnerability scanner and intrusion detection systems and presented method of qualitative evaluation of security vulnerability based on fuzzy data fusion.
利用漏洞扫描器及入侵检测系统的统计结果两方面信息 ，提出了应用模糊信息融合对安全漏洞进行定性评估的方法 。
According to the requirements of multi-sensor data fusion in robot navigation, a novel, fuzzy similarity-based fusion algorithm is given and its theory and application in robot navigation is studied.
着眼于机器人导航中多传感器数据融合需求，提出了一种基于模糊贴近度的数据融合新算法，研究了它的原理及其在机器人导航中的应用过程。
According to the requirements of multi-sensor data fusion in robot navigation, a novel, fuzzy similarity-based fusion algorithm is given and its theory and application in robot navigation is studied.
着眼于机器人导航中多传感器数据融合需求，提出了一种基于模糊贴近度的数据融合新算法，研究了它的原理及其在机器人导航中的应用过程。
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