least square regression meaning in English
最小二乘方回归
最玄乘回归
Examples
- Least squares regression is vulnerable to singular point ; least absolute deviations can overcome this shortcoming but difficult in calculation
摘要采用最小二乘法进行回归分析，容易受到奇异点的影响；最小一乘法虽能很好地克服这一缺陷，但又存在计算困难。 - Comparing with radial basis function neural network - partial least square regression ( rbfn - plsr ) methods , a - svm was superior in both fitting accuracy and prediction performance . the proposed al
与径向基网一偏最小二乘( rbfn一plsr )方法相比， a一svm方法的拟合精度和预测能力均有明显的提高。 - Partial least squares regression is a new high - dimension - project - based nonparametric analysis method , which is an extension of ordinal least squares ( ols ) to deal with some defects of ols much more efficiently . its basic ideals had been come forth in 1960s early
偏最小二乘( pls )回归是一种基于高维投影思想的新的非参数回归方法，是对一般最小二乘( ols )的改进，比较有效地克服了ols的部分缺点。 - This work researched and discussed the modeling and optimization methods and their applications in chemical process . the main contributions of this work are as follow : 1 ) discussed the partial least square regression ( plsr ) and multi - cyclic subspace regression ( mcsr ) , investigated radial basis function neural network ( rbfnn ) , analysed genetic algorithm ( ga ) and its weakness
本文正是对化工过程建模、优化及其应用的一种研究与探讨，主要包括以下工作： 1 )论述了偏最小二乘回归方法( plsr )与多元的循环子空间回归方法( mcsr ) ，讨论了径向基函数神经网络( rbfnn ) ，分析了遗传算法( ga )及其应用中的不足。 - In case of high input dimension system model , taking norm of input vector as the input of wavelet network instead of using tensor product method to construct wavelet network , which could solve the problems of high computation and curse of dimensionality . in the selecting of specific wavelet basis , this thesis first gets initial wavelet basis collection according to spectrum analysis , then gives the least squares regression algorithm to optimize wavelet basis collection based on the least estimation error criteria , which could also initialize the model parameters and increase the speed of convergence
对于具体的模型小波基函数选择,本文首先对样本数据进行时频域分析,根据小波基函数时频空间覆盖样本时频空间的原则,在小波框架中选择建模所用的函数集,然后根据估计误差最小准则,给出最小二乘回归优选算法以进一步优化小波基函数集。