分析了采用正交最小二乘(ols)算法的RBF神经网络应用于DS - CD MA扩频通信的多用户检测的问题，给出了基于RBF网络进行多用户检测的理论依据和仿真分析性能。
RBF neural network method using OLS algorithm for Multi-user Detection in DS-CDMA Systems is pro-posed, and the theoretic basis and simulation analysis capability are given int his paper.
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.
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.
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