system identification theory meaning in English

系统辨识理论

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Applying this forward model , the system identification theory is firstly introduced to gpr signal analyzing field , and the sidthk program is developed for backcalculating dielectric property and thickness of pavement structures
应用该正演模型，首次将系统识别理论引入探地雷达信号分析领域，提出了路面结构层材料介电特性及其厚度反演分析方法，并开发了反演分析软件sidthk 。
However , with the development of society and science , nonlinear system is more and more important . the conflict between control and model is getting more and more evident . this fact results in the development of nonlinear system identification theory
但随着社会、科学的发展,非线性系统越来越受到人们的关注,其控制与模型之间的矛盾越来越明显,因而非线性系统的辨识问题也越来越受到重视,其辨识理论不断发展和完善。
E . tva load model structure , which is more adaptive to the measurement - based load modeling . based on the presented model , the dissertation further researches and applies the least square algorithm in classic system identification theory as well as the simplex method and the genetic algorithm in modern system identification theory to identify the load model
在广泛研究现有典型负荷模型结构的基础上，论文提出了适用于量测建模的时变适应的负荷模型( tva负荷模型) ；进而研究并综合应用传统辨识理论中的最小二乘辨识法和现代辨识理论中的单纯形法、遗传算法进行负荷模型辨识。
The main contents are following : ( 1 ) from the methodology of nn , the basic theories on nn are discussed , with the emphasis on the mechanism of nn and its study rules . then the bp nn is concerned , because it is the comparatively most widely used nn type in the field of structure ' s damage identification ; ( 2 ) from the angle of system identification theories , the method and process of establishing the identification system model are demonstrated . also , how to implement a structural damage identification system of concrete architecture , based on bp neural network is demonstrated in the thesis ; ( 3 ) in order to find a more effective training algorithm of global approach , the way of optimizing network ' s weights using ga is demonstrated
论文的主要内容包括： ( 1 )从神经网络理论出发，探讨了神经网络的基本理论，并重点论述了神经网络的工作机制和学习规则，及在结构损伤识别领域中广泛应用的前向神经网络模型- - - - bp神经网络模型； ( 2 )从系统识别论的角度，提出了利用神经网络建立混凝土结构损伤识别反问题的思路、方法和步骤，并在此基础上研究了基于bp神经网络的结构损伤识别系统对单处梁结构进行识别的方法； ( 3 )为了寻找一种更有效的全局逼近学习算法，本论文从神经网络与遗传算法相结合的角度，阐述了遗传算法结合bp算法优化神经网络权值的方法，实验证明，遗传算法和神经网络相结合不仅具有神经网络泛化的映射能力，而且具有遗传算法快速和全局逼近的优点，是一种较好的解决混凝土结构损伤识别问题的方法； ( 4 )基于java语言设计并实现了结构损伤识别系统。
It will present a new method - frequency - domain regression ( fdr ) method based on system identification theory for calculating transient heat flux through multi - layer walls . first , the frequency characteristics of the total transmission matrix are calculated within the frequency range concerned . then , a simple polynomial 5 - transfer function is yielded from the theoretical frequency characteristics for internal , cross and external heat conduction by applying appropriate identification algorithm , respectively
首先在所关心的频域范围内计算出总的传递矩阵的频率响应，然后采用适应的辨识算法从墙体不稳定传热的理论频率响应中构造出一个简单的多项式s -传递函数，该多项式s -传递函数与墙体瞬时传热的理论的超越s -传递函数完全等价。

system identification theory meaning in English

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