针对控制模型的特点，利用最小二乘法和RBF神经网络构造了二次辨识的在线辨识算法。
An online identification algorithm was constructed using the least squares method and an RBF neuro network.
将偏最小二乘回归与神经网络耦合，建立了城市生活用水量预测模型。
The paper establishes the model for the urban life-water quantity prediction by means of combining neural network with the partial least squares method.
基于输出层函数为线性函数的三层前馈神经网络，结合自适应步长和动量解耦的伪牛顿算法及迭代最小二乘法导出了一种混合算法。
On the basis of both adaptive BP algorithm and Newtons method, Quasi Newton algorithm with adaptive decoupled step and momentum (QNADSM) for feed-forward neural networks is derived.
神经网络偏最小二乘法(NNPLS)被应用于一种甲烷氧化偶联多组分催化剂的鲁棒反应模型的建立。
In this paper neural network partial least square (NNPLS) was used to establish a robust reaction model for a multi-component catalyst of methane oxidative coupling.
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.
提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).
使用了高斯函数作为神经网络的激励函数，并以最小二乘准则对字符进行识别。
Gauss function is used as neural network's inspirit function, and least square rule is used to recognize the character.
分别采用最小二乘法和神经网络方法对上述方程进行求解，推导出了关节动态刚度和阻尼的辨识模型。
Joint dynamic stiffness and damping were identified via solving the former identification model by use of least square method (LSM) or neural network method.
提出了一种神经网络(ANN)和偏最小二乘法(PLS)结合的新的近红外(N IR)多组分分析法。
The present paper presents a new NIR multi-component analysis method with Artificial Neural Network (ANN) and Partial Least Square Regression (PLS).
在研究基于最小二乘理论的多维力传感器静态线性解耦方法的同时，提出了一种基于BP神经网络的静态非线性解耦方法。
The least square theory-based static linear decoupling method is studied, and a new static decoupling method based on BP artificial neural network is proposed.
为了比较算法的性能，作者又分别采用了偏最小二乘法、主成分分析结合BP神经网络进行数据处理。
To compare arithmetic performance, the authors also processed the spectral data with partial least squares and PCA-BP neural network.
通过实例与神经网络法的结果进行了比较，结果表明偏最小二乘回归更精确和简单。
Parameters of aircraft effectiveness is analyzed, and a new effectiveness forecasting method based on partial least-square regression is proposed.
比较分析了最小二乘支持向量机（LSSVM）和广义回归神经网络（GRNN）这两种方法的特点。
The features of two methods, i. e. least square support vector machine (LSSVM) and generalized regression neural network (GRNN) are compared and analyzed.
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.
本文改进了递归正交最小二乘（ROLS）算法的停止条件，并用改进的ROLS算法优选RBF神经网络中隐单元的个数；
In this paper, the stop condition for recursion orthogonal least square (ROLS) algorithm is improved, and the optimal number of hidden neurons in RBFNN is chosen using this improved ROLS algorithm.
在该方案中，通过梯度法获取隐层神经元的输入，使用线性最小二乘法训练各神经元的权值和阈值。
In this scheme, the inputs of hidden layer neurons are acquired by using the gradient descent method, and the weights and threshold of each neuron are trained using the linear least square method.
将偏最小二乘回归与神经网络耦合，建立了径流量预报模型。
Coupling partial least-squares regression and neural network in the article, the forecasting model of the quantity of runoff is established.
同时，为了更精确地预测天然气价格变动，我选择BP模型的改进模型也就是偏最小二乘神经网络模型对天然气价格进行预测。
While in order to preview the change of natural gas price more accurately, I choose improved BP model-partial Least Squares Regression to forecast the price.
径向基函数神经网络的隐含层到输出层的线性连接权值，则是由最小二乘法来计算得到的。
The connection weights between hidden layer and output layer are got by Least Mean Square Algorithm.
首次尝试将最小二乘支持向量机技术用于土壤侵蚀预测，并与BP神经网络的方法进行了对比，取得了较好的预测精度。
This paper try to predict soil erosion with the Least Square support vector machine technology and the better predict precision compared to the BP artificial neural network has been gotten.
将偏最小二乘回归与神经网络耦合，建立了矿坑涌水预报模型。
The authors establish the forecasting model for water yield of mine, combining neural network model with the partial least square method.
系统辨识采用了最小二乘辨识和神经网络辨识两种方法。
Two kinds of methods of system identification which are least squares identification and neural network identification are adopted here.
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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