介绍了交通安全的研究方法和预测模型，并对统计分析、模糊数学分析及灰色理论方法进行了比较。
Study method and predicting models for traffic safety are introduced. Comparisons on statistical analysis, fuzzy mathematical analysis and method of gray theory are made.
第四章是选词模型的算法实现，包括对基于模糊语义模式匹配的选词算法以及基于实例比较和统计的选词语算法的介绍。
Chapter Four describes the algorithms of the lexical selection model, including the algorithm basing on fuzzy semantics patterns and the algorithm basing on examples.
方法：通过对医学专家在骨肿瘤诊断实践中的方法研究，结合模糊集合论和医学统计理论建立量化的诊断模型。
Methods: Quantitative diagnosis model was studied with fuzzy theory and medicine statistics after studying the methods used by medical specialists to diagnoses osteoma in practice.
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.
把粗糙集理论与基于概率统计ID3算法结合建立粗糙集约简模型，可处理不精确和模糊数据集信息。
The rough sets reduction model is established by integrating rough sets theory with ID3 algorithm based on statistics, uncertainty fuzzy data set information can be processed with the model.
同时基于自适应神经模糊推理系统建立了岩体力学参数与边坡抗滑力和下滑力的映射模型，分析得到抗滑力和下滑力的统计特征。
The model is used to perform the numerical simulation of slope stable state, to acquire the data for adaptive neuro-fuzzy inference system(ANFIS) analysis.
本文提出了多年径流过程周期分析的模糊假设检验模型及模糊统计判断方法。
In this paper, the test model of fuzzy hypothesis for the period analysis of the runoff process over a number of years and the method of a fuzzy statistical inference are presented.
根据各种证券收益率的统计数据，提出了基于模糊多目标规划的一种新的证券投资决策模型。
Based on statistical data about profit rates of various securities, this paper provides a new model for the decisions of securities investment with the help of fuzzy multiple objective programming.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
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