We make analyses of the three hypotheses of regression. Adaptive adjustment of smoothing index parameters and parameter estimation of ARMA models.
对统计算法中回归模型中的假设条件、平滑指数的自适应调整、ARMA模型的参数估计作了一些分析。
This paper discusses how to design an adaptive filter to remove the noise of an image in terms of the principle of least squares and regression model.
文章讨论如何根据最小二乘原理和回归模型设计出自适应滤波器，以用于消除图像噪声。
An adaptive filter is designed in the paper to remove the noise of an image in terms of the principle of least squares and regression model.
根据最小二乘原理和回归模型设计出消除噪声的自适应滤波器，以消除图像的噪声。
It proposes an adaptive process scheduling approach based on linear regression.
提出一种基于线性回归的自适应调度方法。
The validity, features and adaptive region of these models are analysed through test, and compared with the least square regression model.
通过实验分析这两种模型的有效性、特点及适用范围，并与常用的最小二乘回归模型相比较。
It proposes an adaptive process scheduling approach based on the curvilinear regression that can be transformed to a linear regression.
提出一种基于可化为线性回归的自适应调度方法。
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。
A novel adaptive support vector regression neural network (SVR-NN) is proposed, which combines respectively merits of support vector machines and a neural network.
一种新的自适应支持向量回归神经网络(SVR - NN)提出，它结合了分别支持向量机和神经网络的优点。
In addition, an adaptive kernel relevance vector machine based on PSO is presented to deal with the problem that the regression performance of classical RVM is often influenced by kernel parameters.
此外，针对相关向量机回归计算结果受核参数影响较大的问题，本文还提出一种基于微粒群算法的相关向量机核参数自适应优化方法。
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。
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。
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