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The conclusion of paper conclude two parts:1. the hand of the Geological Character(1) Shandong conclude six research plots: the hard magma rock plot, the hard sediment rock plot, the plain and riverway alluvium-proluvial plot, the alluvium strand plain plot, the bajada plot and the mountain front sedentary plot.(2) The span of physical and mechanical index is effected by the character of stratum and geological zone. The normal value of physical and mechanical index is not even. The coefficient of variation of synthesis is bigger than the coefficient of laminate. The coefficient of variation is divided into three level: dry density

为获得满意的成果,主要进行以下研究内容:分析研究山东省的地形地貌特征、地层岩性特征、地质构造特征、地下水特征、地质灾害特征及第四系分布特征等,全面系统地了解了山东省的区域地质特征;将山东省划分为两个研究区和六个研究亚区,给出各个研究亚区的工程地质特征和典型地层柱状图;根据山东省已建高速公路的工程勘察资料,统计分析3957个样本点,得到各研究区典型地层的地基承载力取值范围和9个物理力学指标的标准值;利用ARCVIEW和

In theory, it can have an unlimited bit depth, that is, each sample point 1-8-bit, 24-bit, 32-bit or 48-bit.

在理论上它能够有无限位深,即:每样本点1-8位、 24位、32位或48位。

According to the geometric sense of classification problem and starting from dataset, four determinant algorithms for rotundity distribution, cirque distribution, sphericity distribution and columniation distribution are proposed.

本文利用分类问题的几何意义直接从数据集出发,按照两类样本点之间的距离关系,分别给出SVM训练集呈圆形、环形、球状、柱状分布的测试算法,为基于数据分布的核选择方法提供了实现的基础。

For a N samples interpolation problem it conclude that we can interpolate them accurately using a three layer feedforward net with at most N hidden nodes.

对于给定N个样本点的插值问题,指出最多用含N个隐节点的三层网即可实现精确插值。

In order to solve the problem, a new method that builds the inverse function for thermistor is propossed.

为解决这一问题,提出了一种实现智能线性化的新方法,它通过少量的样本点的学习,建立与热敏电阻器传输特性相对应的逆函数。

The substitution model of RBF neural network was made respectively by 3 different test functions. The error analyses indicate that the fractional steps experiment design method is very practical for the substitution model needed large scale test sample points.

对3个测试函数建立RBF神经网络替代模型,其误差分析表明,分步试验设计方法对于需要大规模试验样本点的替代模型是非常实用的。

The radial basis function model was built for the structural optimization based on the design parameters, which were obtained by the Latin square design of experiment.

以结构尺寸为设计变量,利用拉丁超立方试验设计方法选取样本点,建立径向基函数近似模型。

A new sampling scheme for training based on the number theoretic lattice is proposed. Illustrative examples are given to verify the effectiveness of the proposed method.

文章介绍了用模糊逻辑建模的过程,提出了用数论网格的样本点生成方法,最后用实例说明了用于器件与电路建模的效果。

This could effectively increase the noise immunity of least square support vector machine.

传统最小二乘支持向量机引入模糊加权系数后,可以根据训练样本点的情况调整折衷系数,有效地提高了最小二乘支持向量机的抗噪性能。

It generalized the traditional k-means algorithm from the point of view of prototype selection. In detail, the kPC algorithm substituted hyperplanes for points used in k-means algorithm to be the prototypes and got these hyperplanes by minimizing the sum of the squared distances between each point and its closest hyperplane.

它从原型选择的角度推广了传统的k-均值算法,用超平面替代k-均值算法中的中心点来表示聚类原型,并通过最小化样本点到最近中心超平面平方距离之和来求取原型超平面。

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This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

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双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。