Multivariate linear regression algorithm is used in calibration software design.
在定标软件中采用了多项式线性回归算法。
A new unitary linearity regression algorithm constringed by specified error is proposed in the paper.
提出了一种改进的一元线性回归算法。
This paper mainly includes two parts contents and researches. The first part is about study of PLS nonlinear regression algorithm.
本文主要研究内容和研究成果包括两个部分第一部分是研究近期偏最小二乘非线性建模算法。
I also demonstrated how to develop and implement the heart of a simple linear regression algorithm using PHP as the implementation language.
我还演示了如何用PHP作为实现语言来开发和实现简单线性回归算法的核心部分。
They also enable the use of multinomial logistic regression algorithm to classify the network flow, and reduce the complexity of the traditional algorithms.
同时利用该组特征仅需采用多项逻辑斯谛回归算法即可实现网络流量的分类，较传统流量分类算法有较低的复杂度。
The model parameters were calculated through the nonlinear regression algorithm. Thus, the formula of heat transfer coefficient for the quenching process was obtained.
通过非线性回归算法对模型参数进行回归计算，最终取得整个淬火过程的换热系数公式。
On the earning data of the tests, temperature static model of gyro has been studied by the two ways of linear regression algorithm and of wavelet network identification.
在试验数据的基础上，分别使用线性回归算法和小波网络建立了陀螺仪的静态温度模型。
This paper presents an adaptive and iterative support vector machine regression algorithm (CAISVR) based on chunking incremental learning and decremental learning procedures.
文中基于块增量学习和逆学习过程，提出了自适应迭代回归算法。
A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy.
摘要提出了一种新的自适应约简相关向量机回归算法来估计图像的光照色度以达到色彩一致性目的。
On the earning data of the tests, temperature static model of gyro has been studied by the way of linear regression algorithm which is simple and has been used in the practice of project.
在试验数据的基础上，用线性回归算法建立了陀螺仪的静态温度模型。线性回归法算法简单，已用于实际工程中。
Since the algorithm does not require a prior regression model with unknown variables, it can be utilized in the circumstances where other traditional statistical regression algorithms fail.
该算法由于不需要先验地建立一个参数未知的回归模型，因此可以用在其他传统统计回归算法失效的场合。
Theoretical and practical computation show that the optimal approximation results can be obtained using the suboptimal subset regression algorithm proposed by the paper for any given precision.
理论分析和实际计算发现，利用本文提出的修正次优子集回归法对给定的任意精度都可求出最佳逼近结果。
To further improve the calibration precision of the previous regression algorithms, an iterative local algorithm of color calibration based on kernel partial least squares regression is proposed.
为进一步提高回归算法的色彩校正精度，提出一个基于核偏最小二乘回归的局部迭代算法。
In this paper, an algorithm of linear regression algorithm of least square with guideline of principal axis is derived according to the practical situation of application in reservoir engineering.
结合油气藏工程应用中实际，推导了线性回归主轴准则最小二乘线性回归算法。
A stable quantitative model is provided for a developed filter-based near infrared detection instrument by using a multiple linear regression algorithm to select the optimal quantitative wavelength.
在自主研发的滤光片型近红外检测仪上通过用多元线性回归算法选择最优定量波长，为仪器提供了稳健的定量模型。
Online identification algorithm of support vector regression is used to build the inverse model for the plant.
采用支持向量回归在线辨识算法作为建模方法建立被控对象的逆模型。
SECRET is a new algorithm for scalable linear regression trees.
SECRET是一个关于可伸缩线形回归树的算法。
The LZ algorithm presented in this paper makes possible the solution of the multiple regression analysis problems in management prediction without turning to the commonly used method of least squares.
本文提出的LZ算法，使管理预测中所涉及的多项目回归分析问题，无需采用最小二乘法就能得到解决。
A new algorithm for modeling regression curve is put forward in the paper, it combines B-spline network with improved support vector regression.
将改进的支持向量回归机与B -样条网络相结合，提出了一种建立回归曲线模型的新算法。
After expounding the modeling method of multiple linear regression based on least square algorithm, the thermal distortion model is modelled.
在介绍了基于最小二乘法的多元线性回归建模方法后，建模了机床的热变形实时预测模型。
This paper proposed a new blind image restoration algorithm based on relevance vector regression (RVR) models.
提出一种基于关联向量回归模型的盲图像复原算法。
Proposed the model of fuzzy chance constrained programming with fuzzy decision, and did some research on fuzzy linear support vector regression (algorithm) on this base.
给出带有模糊决策的模糊机会约束规划模型，在此基础上，研究模糊线性支持向量分类机(算法)和模糊线性支持向量回归机(算法)。
A new nonparametric regression learning algorithm for RBF neural network is presented. It is a novel method involving a combination between regression trees and RBF networks.
介绍了一种新的非参数回归RBF神经网络学习算法，该算法将R BF神经网络与回归树结合起来使用。
The generalized regression neural network(GRNN) and the genetic algorithm(GA) are regarded as the artificial intelligence techniques.
广义回归神经网络（GRNN）和遗传算法（GA）都是在模拟人的生理活动进而提出的人工智能技术。
The third is the ill-condition separation algorithm in multicollinear regression model.
复共线回归模型的病态分离算法。
It also elaborates the ideas, counting steps and optimize algorithm of support vector classification and regression.
并且分别详尽的阐述了支持向量分类和支持向量回归的理论思想、计算步骤和优化算法。
It also elaborates the ideas, counting steps and optimize algorithm of support vector classification and regression.
并且分别详尽的阐述了支持向量分类和支持向量回归的理论思想、计算步骤和优化算法。
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