Based on the adaptive Kalman filtering algorithm, an estimator for the GPS PN code tracking error with model bias is proposed.
在自适应卡尔曼滤波算法的基础上提出了一种带模型偏差的GPS伪码跟踪误差估计器。
Based on the algorithm of maneuvering acceleration current statistical model adaptive filtering, the adaptive kalman filtering algorithm based on QR matrix decomposition is presented in this paper.
在机动加速度“当前”统计自适应卡尔曼滤波算法的基础上，引入了基于Q - R矩阵分解的自适应卡尔曼滤波算法。
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。
This method includes the "bi-gram" probabilistic model, the statistical algorithm, the rich rules and rule-based algorithm for word filtering.
该方法包括高效的“二元语法”统计模型、统计算法、统计选词策略、丰富的规则知识和规则过滤算法。
An interacting multiple model (IMM) adaptive filtering algorithm based on expected system noise model was presented.
本文提出基于期望系统噪声模型的自适应交互式多模型(IMM)算法。
In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.
为了更有效地利用图像的局部特征恢复被噪声感染的图像，基于图像局部纹理方向概率统计模型，提出一种针对混合噪声的非线性滤波算法。
Then based on the primary isolation result, the fault is accurately located by the multiple-model fusion filtering algorithm, and the fused state and fault estimates are obtained as well.
在初步分离结果的基础上，利用多模型融合滤波算法对故障进行精确定位并得到状态和故障的融合估计。
The model of vehicular autonomic navigation system and dead reckoning (DR) algorithm based on two-step recursive filtering are proposed in this paper.
给出了基于两步递推滤波的车辆自主式导航系统模型及其航位递推算法。
After analyzing existing information filtering model and classifying algorithm, an intelligent decision-making system for bad information which is based on ANN is proposed.
在对现有信息过滤模型以及分类算法进行分析比较的基础上提出了一个基于人工神经网络的不良信息监测智能决策系统。
A new adaptive filtering model based on particle swarm optimization (PSO) algorithm is proposed and designed. It is proved to be efficient and effective in the computer simulation example test.
提出并设计了一种基于粒子群优化算法的振动信号的自适应滤波模型。该滤波模型在计算机仿真测试中，获得了很高的效率和良好的结果。
A collaborative filtering recommendation algorithm based on the item features model is proposed in this paper.
提出一种基于项目特征模型的协同过滤推荐算法。
The merits and weak points of each algorithm are analyzed and compared, and a spam filtering model based on ID5R algorithm is presented.
介绍了垃圾邮件过滤技术，对决策树算法的基本思想进行阐述，分析比较其优点和不足，给出了基于ID5R算法的垃圾邮件过滤模型。
Based on tradition filtering algorithm, an adaptive filtering algorithm based on vector space model is proposed in the paper.
在传统过滤算法的基础上，本文提出一种基于向量空间模型的自适应过滤算法。
Most of the content-based filtering algorithms are based on vector space model, of which Naive Bayes algorithm and K-Nearest Neighbor (KNN) algorithm are widely used.
基于内容的过滤算法大多数是基于向量空间模型的算法，其中广泛使用的是朴素贝叶斯算法和K最近邻（KNN）算法。
Collaborative filtering algorithm based on model users greatly improves the efficiency of online recommendation, makes model users relatively stable and also improves the accuracy of recommendation.
对在此基础上生成的模范用户模型应用协同过滤推荐算法，目标用户在线推荐的效率有很大的提高，模范用户模型相对稳定，推荐精度也有所改善。
Collaborative filtering algorithm based on model users greatly improves the efficiency of online recommendation, makes model users relatively stable and also improves the accuracy of recommendation.
对在此基础上生成的模范用户模型应用协同过滤推荐算法，目标用户在线推荐的效率有很大的提高，模范用户模型相对稳定，推荐精度也有所改善。
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