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。
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。
A nonlinear system parameters identification problem is investigated in this paper by introducing a relaxation method used for solving the linear equations of the system.
研究了非线性参数系统模型的识别问题，通过引入求解线性方程组的松驰法思想，构造了一类新的迭代识别算法。
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。
According to the selected scheme an equation is constituted for the observation. Identification algorithm for the nonlinear dynamic system, is deduced following the maximum likelihood principle.
然后根据选定的量测方案建立观测方程，并按极大似然原理导出非线性动力学系统的参数辨识算法。
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。
Identifying and compensating on-line of nonlinear temperature drift about IFOG can be realized by the identification method, and the measurement precision of IFOG can be improved effectively.
采用该辨识方法可实现光纤陀螺非线性温度漂移的在线辨识和补偿，有效地提高光纤陀螺的测量精度。
Through analysis and improvement of relaxation, a method was put forward for Chinese characters identification and post processing based on relaxation procedure of nonlinear probability.
通过对松驰方法的分析与改进，提出了一种基于非线性概率松驰过程的汉字识别后处理方法。
The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.
研究了非线性连续—离散系统极大似然估计方法的实现及其在飞行器气动参数辨识中的应用问题。
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。
It is also shown that the identification accuracy for the nonlinear parameter depends on the degree of nonlinearity and the initial amplitude.
数值算例证实了此方法的正确性，计算表明非线性系数的识别精度与非线性程度和初始振幅大小有关。
The question about parametric identification of nonlinear vibration system based on time-frequency analysis was studied.
对基于时-频相结合的非线性振动系统的参数识别问题进行了研究。
Based on the directly analytical method for structural damage identification, the nonlinear analytical method was presented.
本文在直接解析法的基础上，进一步提出结构损伤识别的非线性解析法。
The on-line identification algorithm can identify the nonlinear restoring force and the changes in structural parameters in real time.
在线识别算法可以实时地识别出结构非线性回复力和结构参数的变化。
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。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
该文提出了一种基于最差子空间分解聚类的非线性系统模糊辨识方法。
Examples of nonlinear system identification are given to verify the feasibility and effectiveness of the proposed method.
在非线性结构系统识别中验证了该方法的可行性与有效性。
A nonlinear system identification method ba sed on hybrid evolution strategy is proposed.
提出了基于混合进化策略的非线性系统辨识方法。
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。
This thesis carries out studies around the parameter identification of excitation system and carries out parameter identification of liner circle and nonparametric identification of nonlinear circle.
本文围绕励磁系统参数辨识这一题目进行研究，进行了励磁系统线性环节和非线性环节的参数型或非参数型的辨识。
The prediction and identification performance of these nonlinear structures were examined by an example, which models a sensor according to the results of calibration.
最后列举实例，根据标定的数据用该方法对某传感器进行建模，结果验证了该建模方法对此类非线性结构的预测和辨识性能。
A hybrid robust adaptive control based on fuzzy identification for a class of multiple-input -multiple-output nonlinear systems was proposed with plant unknown and external disturbances.
针对一类多输入多输出不确定非线性系统，提出一种基于模糊辨识的混合鲁棒自适应控制方法。
For a class of complex system with interconnected nonlinear subsystems, here is introduced an integrated identification method combining steady-state identification with dynamic identification.
针对一类具有相互关联非线性子系统的复杂系统，提出了一种稳态辨识与动态辨识相结合的集成辨识方法。
Combining the adaptive fuzzy control with the adaptive fuzzy identification, this paper presents an indirect adaptive fuzzy control scheme for MIMO nonlinear systems.
针对多输入多输出非线性系统，把自适应模糊控制和自适应模糊辨识结合起来，提出了一种间接自适应模糊控制方案。
The parameter identification of nonlinear hysteretic systems is dealt with in the paper.
研究了非线性迟滞系统的参数识别问题。
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。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
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