1) regularization coefficient 正则项系数1. A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient. 提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。
正则化项3) regularization coefficient 正则项系数 1. A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient. 提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。4...
The entire natural natural lighting percentage and the light control the illumination energy conservation analysis to be different, its computed result and the building locate latitude related, the software can the natural lighting coefficient and the Tregenza formula which obtains according to the[transla...
The varying-coefficient functional linear model is estimated by the penalized maximum likelihood method with the sparsity-inducing penalty. Tuning parameters that controls the degree of the penalization are determined by a model selection criterion. The proposed method can reveal which combination of ...
Based on the idea of SAR image processing and the prior knowledge of SAR image,we presented an adaptive regularization variation method by constructing diffusion coefficient and regularization parameter. 传统的SAR图像相干斑抑制方法通常会导致边缘和目标的模糊,针对该问题,本文基于SAR图像的先验信息和处理理念...
Heat Conduction Problem Approximate Methods for Direct Heat Conduction Problems Inverse Heat Conduction Estimation Procedures Inverse Convolution Procedures Difference Methods for Solution of the One Dimensional Inverse Heat Conduction Problem Multiple Heat Flux Estimation Heat Transfer Coefficient Estimation Index....
LASSO-BR-ANN was successfully applied for the prediction of PEC50 values for compounds in the external test set with mean square error (MSE) and coefficient of determination (R2) values of 0.07 and 0.88, respectively. Some of the prediction statistical parameters of the model were calculated and...
On a selection criterion of scene matching field based on edge density and self-matching coefficient; 一种基于边缘密度与自匹配系数的匹配区选取准则补充资料:正则化 正则化 regularization 正则化fr卿Ila蛇口d皿;pel,”p“3叫。,」 对于不适定问题(ili一posed problen招)构造关于初始数据的小扰动是稳定的...
Based on the idea of SAR image processing and the prior knowledge of SAR image,we presented an adaptive regularization variation method by constructing diffusion coefficient and regularization parameter. 传统的SAR图像相干斑抑制方法通常会导致边缘和目标的模糊,针对该问题,本文基于SAR图像的先验信息和处理理念...