1) Multi-Cyclic subspace Regression
多元循环子空间回归
2) cyclic subspace regression
循环子空间回归
1.
A new approach, radial basis functions-cyclic subspace regression (RBF-CSR), was proposed based on the analyzing radial basis functions-patial least squares (RBF-PLS).
径向基循环子空间回归(RBFCSR)网络,保留了径向基偏最小二乘(RBFPLS)网络的优点,且可在更广的范围内选择最优模型,但仍存在着参数难以确定,计算量大等问题。
2.
Radial basis function-cyclic subspace regression (RBF-CSR) approach is a rapid one-step modeling method, escaping the difficulty of ANN architecture design.
径向基函数循环子空间回归(RBFCSR)是一种有效的非线性网络模型,以高斯条为基函数,性能更优,但其参数多,且难以选定,将显著影响模型性能。
3.
The radial basis function networks (RBFN) was combined with the cyclic subspace regression (CSR) in this paper, and a modeling approach by RBFN-CSR was designed.
本文将径向基函数网络(RBFN)与循环子空间回归(CSR)相结合,设计了RBFN-CSR建模方法。
3) Multi-dependent variables Cyclic Subspace Regression
多因变量循环子空间回归
6) multiple regression
多元回归
1.
Multiple regression of the related factors on the attack rate of influenza outbreak in Hangzhou city;
杭州市流感暴发疫情罹患率相关因素多元回归分析
2.
A method of optimizing a candidate zone to be fractured with multiple regression and neural network is put forward in the paper because there are some problems in Wuliyasi Sag, such as strong reservoir heterogeneity, poor interlayer shielding, big difference between fractured wells and it is hard to select good candidate wells.
针对乌里雅斯太凹陷储层非均质性强、隔层遮挡性差、压裂井投产后效果相差悬殊,优选增产效果好的候选井层难的特点,本文提出了利用多元回归和神经网络优选待选压裂井层的方法。
3.
Then we put forward the computation formula for base distortion and energy consumption of multiple regression with fortified intensity, base thickness and liquid level.
采用ANSYS有限元分析系统中的流体单元(fluid80)、壳单元(shell181)、实体单元(solid45),建立了立式钢制储罐地震响应分析的三维有限元模型;选取有代表性的4种地震波,计算了工程上常用的8种浮顶罐的耗能及变形;以抗震设防烈度、储罐的底板厚度、储液的高度等参数为变量,采用多元回归的方法,给出了各种储罐底板变形及耗能的实用简化计算公式,以便于实际工程中的应用。
补充资料：多元线性回归
分子式：
CAS号：
性质：又称为多元线性拟合。研究一个因变量与多个自变量的线性关系。可用最小二乘法来估计回归参数，建立多元一次方程。
CAS号：
性质：又称为多元线性拟合。研究一个因变量与多个自变量的线性关系。可用最小二乘法来估计回归参数，建立多元一次方程。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条