最后，本文将分类器的正确率、描述品质和可分辨度相结合，提出了一种确定模糊密度的方法。
Finally, a new method for determining fuzzy densities is proposed through incorporating accuracy, the uncertainty of fuzziness and ambiguity of the classifiers.
SVMFN中采用了一种新的模糊密度定义，同时考虑了分类器的精确度和不确定性，提高了识别的可靠性。
The SVMFN employs a new definition of fuzzy density which incorporates accuracy and uncertainty of the classifiers to improve recognition reliability.
实验表明，采用新的基于模糊积分的融合方法，只要选择适当的模糊密度，就可以使得融合图像在提高空间细节质量的同时，相比其它融合算法能够具有更好的光谱质量。
The experiment shows that while the developed method can keep spectral quality of fused image, it can update the spatial detail quality of fused image when appropriate fuzzy density is chosen.
斜坡根据密度跟踪误差和误差变化情况，通过模糊逻辑对控制器参数进行调整，确定了测量速度。
The ramp metering rate is determined by the PID controller whose parameters are tuned by fuzzy logic according to the density tracking error and error variation.
本文针对密度控制的特点，采用模糊pid控制策略。
A fuzzy and PID control method is presented for characteristics of density control system.
依据随机性和模糊性的基本概念，提出了当量概率密度函数的模糊可靠性分析方法。
Based on the concepts of randomness and fuzziness, a fuzzy reliability analysis method of probability density function equivalent is proposed in this article.
根据基因工程菌高密度发酵过程中对P H值控制的要求，采用模糊控制实现基因工程菌高密度发酵罐的PH值控制。
Basing on the need of PH control in process of engineering bacteria highly dense fementation, fuzzy control completes the task of the PH control of engineering bacteria highly dense fementation.
利用数据点的密度大小作为权值，借助数据本身的分布特性，提出了一种点密度加权模糊c -均值算法。
A dot density weighted fuzzy C-means algorithm is proposed by using density size of data dot regarded as weighted value and distributing characteristic of datas own.
应用基于样本之间的紧密度确定每个样本的模糊隶属度，通过训练确定阀值，去除影响得到最优分类超平面的噪声和野点。
The fuzzy membership of each sample is defined by affinity among samples, and by the training determine a threshold, noises and outliers are removed, which influence optimal separating hyperplane.
给出了基于隶属度矩阵的模糊积分密度确定方法，介绍了基于模糊积分的分类器集成算法。
For this object, a method of determining fuzzy integral density with membership matrix is proposed, and the classifier ensemble algorithm based on fuzzy integral is introduced.
为了提高模糊支持向量机在数据集上的训练效率，提出一种改进的基于密度聚类(DBSCAN)的模糊支持向量机算法。
In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine (FSVM) algorithm based on the density clustering (DBSCAN) is proposed.
为解决此问题，提出一种基于捕食-被捕食的粒子群优化模糊聚类算法且聚类中心采用密度函数初始化。
To solve the problem, a fuzzy clustering based on predator prey PSO algorithm is presented, which is using density function to initialize cluster centre.
但是对于模糊积分，如何计算模糊积分密度是一个尚未解决的问题。
Fuzzy integral is one of the ways to combine classifiers, but how to calculate the fuzzy integral density is a problem which remains unsolved.
研究了重介选煤工艺介质密度和液位系统的动态特性，液位和密度的多变量模糊控制方法。
The dynamic properties of density and level system of heavy medium suspension in heavy media coal processing are analyzed, and the multivariable fuzzy control system of level and density is studied.
CT增强扫描肾髓质密度增高，肾小盏界限模糊。
On enhanced ct scanning the density of renal medulla increased, the margin of renal calyces became indistinct.
肾近曲小管多数线粒体体积缩小，内腔皱缩，嵴模糊，基质电子密度增高。
Some of mitochondria in proximal tubule appeared decreased volume and intercristal space, and increased electron density of matrix.
CT图像见到肯定阳性病灶19 个（100%），表现为明显的异常高代谢病灶，其中6 个（31.6%）病灶内部密度不均匀，5 个（26.3%）显示边界模糊不清。
On PET/CT images, 19 positive lesions(100%)showed abnormal intense high metabolic region, 6 (31.6%)of them showed heterogeneous density and 5(26.3%)showed untidy margin.
桥脑基底部也有稍低密度影，边缘模糊。
There were also slightly hypodense shadow with hazy border in the basal part of the pons.
对于被光学系统点扩展函数严重模糊的高密度条码图像，这种方法的性能急剧下降。
But the performance of this method deteriorates in the case of high density bar code image, which is severely blurred by a point spread function of optical system.
定性和定量分析的结果表明该技术能够有效滤除条纹图中的加性噪声和乘性噪声，并且不会导致高密度区域的条纹模糊。
The qualitative and quantitative analysis shows that this technique can filter off the additive and multiplicative noise of the fringe patterns effectively, and avoid blurring high-density fringe.
该模型为X射线成像系统空间分辨率和密度分辨率的初步设计和评定提供了理论依据，可作为X射线图像恢复算法中模糊函数的先验信息。
The model can be used to design or evaluate X-ray imaging system and can also be a pre-knowledge of blur function in X-ray image restoration.
该模型为X射线成像系统空间分辨率和密度分辨率的初步设计和评定提供了理论依据，可作为X射线图像恢复算法中模糊函数的先验信息。
The model can be used to design or evaluate X-ray imaging system and can also be a pre-knowledge of blur function in X-ray image restoration.
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