system identification的例句大全

Aspects of the flight test technique for system identification

系统识别的飞行试验技术

parametric system identification based on instrumental variable method

基于辅助变量法的系统参数辨识

Servo System Identification and Control Based on Fuzzy RBF Neural Network

基于模糊RBF网络的伺服系统辩识及控制

Electroacoustic measurement in time domain and system identification technique

电声性能时域法测量与系统辨识技术

Using System Identification Method to Predict Water Breakthrough Time in Gas Well

用系统辨识方法预测气井见水时间

analytical developments of damage detection methods, including ( a) signature analysis and pattern recognition approaches, ( b) model updating and system identification approaches, ( c) neural networks approaches;

损伤检测方法的发展，包括：（a）动力指纹分析和模式识别方法，（b）模型修正和系统识别方法，（c）神经网络方法；

This thesis introduces the application of time waveform replication technology in automobile component fatigue life prediction, and gives a brief presentation about its theory and two key technologies used in its process-System Identification and Object Simulation.

介绍了时域波形再现技术在汽车零部件疲劳寿命预测的应用，并对其原理和工作流程中的关键技术&系统识别和目标模拟进行了简要介绍。

System Identification of Thermal Process Based on Genetic Algorithm

基于遗传算法的热工过程辨识

System Identification of the Hydraulic Servo Loading Test Apparatus of a Rod Pumping Unit

抽油机液压伺服加载试验装置的系统辨识

System identification of the yaw model for a hovering micro helicopter

悬停状态下微型直升机航向模型的系统辨识

Thermal model based on method of system identification in spacecraft thermal vacuum test

基于系统辨识方法的航天器热真空试验热传递模型

Survey of the Optimal Input Designs ( OID) for System Identification

系统辨识的最优输入设计（OID）综述

System Identification of Motion Control System on Placement Machine Based on RBF Network

基于RBF神经网络的贴片机运动控制系统辨识

Nonlinear Dynamic System Identification Based on Procedure Neural Networks

基于过程神经网络的非线性动态系统辨识

Dynamic System Identification Based on the Conjugate Gradient Method with Momentum and Batch Techniques

带动量批处理梯度下降法对模型的动态辨识

A new algorithm for dynamic system identification in presence of colored notse

有色噪声动态系统辨识算法

Finally, fuzzy inference model applies to nonlinear dynamic system identification and further verifies its feasibility.

最后将自适应模糊推理模型应用于非线性动态系统辨识，进一步验证了它的现实可行性。

In dynamic system identification simulations, our method saves almost 80% learning time and 90% storing space.

在动态系统辨识的仿真中，本文方法节省近80%的计算量和近90%的存储空间。

Performance Comparison of ε-SVM and Kernel Based LS in System Identification

ε-SVM与核变换最小二乘法在系统辨识中的比较研究

In Chapter 4, we study fluctuant parameter nonlinear dynamic system identification using multi-functional link artificial neural networks. And the trained network is used to realize PSR.

第4章用函数型神经网络拟合变参数非线性系统，给出了系统的性能，将其结合BP网络实现了PSR，并考察了适用范围。