测试结果使用验证和交叉验证方法得到。
Experiment result is get by the means of confirmation and intersectional confirmation.
在第一部分，提出了一种改进的广义交叉验证模糊辨识方法。
In the first block, a modified generalized Cross validation blur identification method was proposed.
支持向量机的参数选择对模型的性能影响很大，目前支持向量机的参数选择尚缺乏公认有效的结构化方法，参数选取依靠交叉验证得到。
Model parameters influence the performance of SVM evidently, but structuring method for parameters selecting is lacking and parameters are generally determined by crossing test.
综合了井间参数预测方法，利用交叉验证的方法，证明了克里格是最理想的地质插值方法。
Integrating the inter-well parameters prediction methods with cross-check method, Kriging interpolation method proved to be the most ideal geological interpolation method.
在沉积微相研究的基础上，通过交叉验证的方法实施储层参数定量预测。
On the basis of the sedimentary microfacies study, the collector parameter quantitative prediction was alternately verified.
给出了缺一交叉验证得分的概念，讨论了最优带宽的理论的和实际的选择方法，并得出实际最优带宽的值。
We give the concept of the leave-one-out cross-validation score. We also discuss the best method to choose the bandwidth and give the best value of it.
同时，用数学方法描述了交叉路口分形交通流的数学关系，建立了相应的数学模型，并通过哈尔滨市某信号控制交叉口的实测数据验证了该模型的正确性。
Meanwhile, it described the mathematical relationship of fractal traffic flow with mathematics method, set up corresponding mathematics model, and proved the model was correct with some data.
所提方法包括基于一对一的探地雷达多目标识别方法、交叉验证的参数选取方法、多通道识别方法；
The proposed method includes the GPR multi-object recognition method based on one against one SVM, the parameter selection method based on the cross-validation and the multichannel recognition method.
结果给出了车辆在交叉口延误时间的计算方法、模糊控制规则的定义和解模糊的方法，并以实例验证了这种方法的可靠性。
Results a calculated method, a definition of fuzzy rule and settle fuzzy method are given. This method has been applied in specific case reliably.
本文研究了基于最小二乘支持向量机的软测量建模方法，并用交叉验证的方法进行支持向量机参数选择。
In this paper, soft sensor modeling method based on Least Square SVM (LS SVM) is proposed, and cross validation method is used to select hyper-parameter of LS SVM model.
在实现方法上，应用模糊推理技术对分流交通量进行了预测，并设计了路线交叉口信号灯配时方案调整的模糊控制算法，模拟结果验证了模糊逻辑推理技术的有效性。
A fuzzy logic reasoning method is used to forecast traffic diversion volume and a fuzzy control algorithm is also applied to design the intersection signal setting of the route.
通过实例验证评价方法的有效性，分析冰雪条件下交叉口行程时间可靠性影响因素。
Afterwards, its effectiveness was verified by example, and the intersection travel time reliability under ice and snowfall conditions influencing factors were analyzed.
通过实例验证评价方法的有效性，分析冰雪条件下交叉口行程时间可靠性影响因素。
Afterwards, its effectiveness was verified by example, and the intersection travel time reliability under ice and snowfall conditions influencing factors were analyzed.
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