在有限元模拟基础上，采用正交设计与最小二乘小波支持向量机对充液拉深过程参数优化进行了研究。
Orthogonal design and least squares wavelet support vector machine are integrated to optimize the technological parameters of hydro-mechanical deep drawing process using FEM.
基于贝叶斯证据框架下的最小二乘小波支持向量机，设计了一种新型模拟电路故障诊断方法。
Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed.
本文把小波函数引入离散数据拟合领域，将小波函数与数据拟合的常用方法——最小二乘法相结合，给出了一种新型的数据拟合工具。
Both the wavelet functions and the least square algorithm of fitting of data are used to construct a new method of fitting of curve and surface.
文章提出一种基于多分辨率学习的正交基小波神经网络结构的设计方法，网络权值的学习采用阻尼递推最小二乘算法。
A designing method of wavelet neural network structure based on multiresolution learning is put forward, and the studies of network weights adopt damped least squares.
将小波变换和多维偏最小二乘法相结合用于近红外光谱定量校正模型的建立。
A new multivariate calibration method for near infrared spectroscopy quantitative analysis was proposed based on wavelet analysis and N-way partial least square method.
小芹一个人悄悄跑到前庄去找小二黑，恰在路上碰上小二黑去找她，两个就悄悄拉着手到一个大窑里去商量对付三仙姑的法子。
Quietly, she hurried in search of Young Blacky. By chance she met him on the road, looking for her. Hand in hand they stole to a cave they knew to talk over how to deal with Third Fairy.
同时利用粒子群算法优化小波最小二乘支持向量机的参数，避免了人为选择参数的盲目性，从而提高了模型的预测精度。
The adaptive particle swarm optimization is used to optimize the parameters of SVM so as to avoid artificial arbitrariness and enhance the forecast accuracy.
针对木材干燥系统强耦合非线性的特性，提出了一种基于小波最小二乘支持向量机的预测控制方法。
Aiming at the strongly coupling nonlinear characteristics of the timber desiccation system, the predictive control method based on wavelet least square support vector machine is proposed.
预测结果表明，利用最小二乘支持向量机进行预测具有误差小、拟合程度高等优点，可适用于GDP的预测。
The forecasting results show it have many advantage, such as lower error and higher fitting, and it can be used to GDP forecast.
提出一种基于正交基函数的小波神经网络设计方法，采用多分辨率学习确定隐含层结构，并用收敛较快的阻尼最小二乘法训练权值。
In this approach the network structure is determined by multiresolution learning, and the weights are trained by damped least squares which has fast convergent rate.
提出一种基于正交基函数的小波神经网络设计方法，采用多分辨率学习确定隐含层结构，并用收敛较快的阻尼最小二乘法训练权值。
In this approach the network structure is determined by multiresolution learning, and the weights are trained by damped least squares which has fast convergent rate.
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