其次，利用递推最小二乘法对随机海浪扰动力和扰动力矩进行建模。
Secondly, the least square method by recursion is carried on modeling for the disturbing force and moment of random sea.
由于线性网络的引入及递推最小二乘法的使用，大大提高了网络的学习速度。
The modified neural network's learning speed is much increased because of the linear network and the recursive least square.
利用递推最小二乘法进行了系统系数辨识，并引入遗忘因子以提高TCS的模型跟踪性能。
System parameters were identified by adapting recursion least square method, and the forgetting factor was introduced to improve the model tracing ability of TCS.
介绍了RBF网络线性层权值的训练算法——递推最小二乘法，及中心向量的动态递推算法。
A recursive least squares algorithm for linking weight between linear layers of RBF network is introduced, and a dynamic recursive algorithm of center vector is proposed.
线性网络部分的参数采用递推最小二乘法辨识，多层前向网络的权值和阈值采用BP算法学习。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
在满足角位置误差测量精度的情况下，为了提高测试效率，将递推最小二乘法应用于组合测角中。
In order to improve the checking efficiency while satisfying the prerequisites for accuracy simultaneously, the recursive least square method is applied to the angular errors checking process.
利用递推最小二乘法循环调整P ID参数，并将该控制器应用于锅炉汽包水位三冲量控制系统。
Recursive least square method was used to adjust the parameters of the PID controller, which was applied in three-element control system of boiler drum level.
该系统利用双端口ram (DPRAM)实现两处理器的通信，运用递推最小二乘法实现保护算法。
This system USES Dual Port Random Access Memory (DPRAM) to realize the communication between two processors and chooses the recursive least error squares (RLES) algorithm.
借助这一模型和递推最小二乘法(RLS)，可以由极短的称重阶跃响应估计出模型参数和被称质量。
Using this model and the Recursive Least Square (RLS) method, the model parameters and then the mass to be weighed can he identified from the step response of very short duration.
针对时变结构系统提出一种结构适应式自校正控制器，它由变阶式递推最小二乘法和变结构控制律组成。
A kind of structure adaptive self tuning controller is proposed, which is composed of the varying order recursive least square method and a varying structure control law.
该模型首先采用改进的最近邻聚类算法确定径向基函数中心，接着应用递推最小二乘法训练网络的权值。
The model USES an improved nearest-neighbor clustering algorithm to select the RBF center, and a recursive least square algorithm to train weights of the RBF neural network.
研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。
Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.
本文给出变阶式递推增广的最小二乘法及阶估计准则。
A variable-order recursive extended least squares method and a new criterion of order estimation is derived in the paper .
本文给出变阶式递推增广的最小二乘法及阶估计准则。
A variable-order recursive extended least squares method and a new criterion of order estimation is derived in the paper .
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