To solve the problem of the robust prediction of neural networks, the paper proposed a universal method of nonlinear model identification.
为了实现神经网络预测模型的鲁棒预测，提出一种基于非线性偏自相关的一般化预测模型辨识方法。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。
Simulation results based on ideal mathematical model and industrial model show that the PID Elman network is prior to the modified Elman network in identification of nonlinear dynamic systems.
无论是理想的数学模型还是实际工业模型，计算机仿真结果均证明，将P ID型网络用于动态系统辨识具有更好的逼近效果。
The theory of identification model based on neural networks(NN)is to research into its capability of nonlinear approximation.
神经网络的非线性逼近能力的研究是神经网络成为辨识模型的理论基础。
This paper presents the application of an approximate nonlinear filter in the identification of gyro drift error model.
提出了应用近似非线性滤波技术，辨识陀螺漂移误差模型的方法。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
According to the drawback of the models existed which are too complicated, we set up a nonlinear temperature model of MCFC using RBF neural networks identification technology.
针对现有的熔融碳酸盐燃料电池(MCFC)模型过于复杂的弊端，本文应用rbf神经网络辨识方法建立了MCFC的温度非线性模型。
Mathematical model establishment in nonlinear system such as automobile engine is still very hard. Artificial neural network theory brings to us a new method in nonlinear system identification.
建立汽车发动机这样非线性系统的数学模型非常困难，人工神经网络理论为非线性系统的辨识提供了新的方法。
In view of modeling problems of nonlinear and dynamic system, a self organizing fuzzy identification algorithm (SOFIA) is presented based on t s model in this paper.
针对复杂非线性动态系统的模糊建模问题，基于T -S模型提出一种自组织模糊辨识算法。
In the process of identification, a bilinear model, based on which the identification equations are obtained, is used to describe the memorial restoring force of the nonlinear hysteretic system.
在识别过程中，将非线性迟滞系统的记忆恢复力用双折线模型来描述，并由此模型写出非线性迟滞系统的参数识别方程。
Different from the traditional nonlinear identification method, NNI is not restricted by the nonlinear model.
与传统非线性辨识方法不同的是，神经网络辨识不受非线性模型的限制。
A nonlinear generalized predictive control algorithm based on a Hammerstein model with long range predictive identification is presented.
推导了基于远程预报辨识的非线性广义预测控制算法。
The platform verified that the proposed variable load DC Motor Speed Control System with nonlinear state space model and parameter identification method is effectiveness.
利用该平台验证了提出的变负载直流电机双闭环调速系统的非线性状态空间模型及其参数辨识方法的有效性。
A model identification approach of nonlinear systems is presented based on T-S model.
基于T - S模型，提出一种非线性系统的模型辨识方法。
On the aspect of model identification, we specially study the selection techniques for nonlinear model structure with linear parameters and the corresponding algorithms.
在模型辨识方面，我们专门研究了参数线性的非线性模型结构的选择技术及其算法。
The macro model of traffic flow in freeway is a high order, nonlinear and time variant system which makes the problem of its identification become very difficult.
高速公路交通流模型是一个高阶非线性时变系统，这使得该模型的辨识问题成为一个非常困难的问题。
Based on model-on-demand idea, a multi-model approach to identification for unknown-structure nonlinear systems is presented.
针对结构未知的复杂非线性系统，提出一种多模型建模方法。
Based on model-on-demand idea, a multi-model approach to identification for unknown-structure nonlinear systems is presented.
针对结构未知的复杂非线性系统，提出一种多模型建模方法。
应用推荐