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复杂系统辨识
相关语句
  complex system identification
     Algorithm for initializing newtwork on complex system identification
     复杂系统辨识的网络初始化算法
短句来源
     A method of complex system identification is presented.
     给出了一种解决一类复杂系统辨识问题的方法。
短句来源
  “复杂系统辨识”译为未确定词的双语例句
     FUZZY-TREE MODEL AND ITS APPLICATIONS TO COMPLEX SYSTEM MODELING
     模糊树模型及其在复杂系统辨识中的应用
短句来源
     AN ADAPTIVE FUZZY NEURAL NETWORK FOR IDENTIFICATION OF THE COMPLICATED NONLINEAR SYSTEM
     一种用于非线性复杂系统辨识的自适应模糊神经网络
短句来源
     1. A survey on the application of fuzzy-neural network to complicated system identification and control is presented. The problems in its theory and applications are analyzed.
     本论文的工作包括:1、评述了模糊神经网络用于复杂系统辨识和控制的研究现状,并且指出了它在理论和应用中存在的问题。
短句来源
     In this paper we make a study of the theoretical means and its applications in the domain of oil field well logging and well test.
     本文围绕复杂系统辨识、建模、滤波等理论方法及其在油田录井和试井领域的应用,展开了深入探讨,主要完成了以下研究工作。
短句来源
  相似匹配句对
     Confusion from Complex Systems
     复杂系统的迷雾
短句来源
     Analysis of Complex System
     复杂系统理论剖析
短句来源
     system).
     系统)。
短句来源
     SYSTEM
     系统
短句来源
     Fuzzy Identification of Uncertain Complex Systems
     不确定性复杂系统的模糊辨识
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  complex system identification
Small systems contain fewer variables, resulting in less complex system identification.
      


A linear binary fuzzy tree structure approach, i.e. Fuzzy Tree model, is proposed for complex nonlinear system modeling. In comparison with some other modeling approaches, such as ANFIS and Neural Network model, the proposed model is of less computation, higher accuracy, especially insensitivity to high dimension. It is proved that for any square integrated continuous function, there always exists a Fuzzy Tree model to approximate it arbitrarily. Fuzzy Tree model simulates the layered decision making and...

A linear binary fuzzy tree structure approach, i.e. Fuzzy Tree model, is proposed for complex nonlinear system modeling. In comparison with some other modeling approaches, such as ANFIS and Neural Network model, the proposed model is of less computation, higher accuracy, especially insensitivity to high dimension. It is proved that for any square integrated continuous function, there always exists a Fuzzy Tree model to approximate it arbitrarily. Fuzzy Tree model simulates the layered decision making and piece wise linearized processing procedure for solving complex problems. A numerical solution was given to show the approach.

对含高度非线性的复杂系统的辨识与建模提出了一种二叉线性模糊树方法 .证明了对n维空间中任一闭集上的有限样本集或连续函数 ,总存在模糊树模型以任一精度逼近之 .仿真结果表明 ,与已有的其它方法比较 ,模糊树模型不仅具有计算量小 ,精度高 ,对于输入空间维数不敏感等优点 ,同时它的逼近误差是单调下降的 .模糊树模型在一定程度上模拟了对复杂问题进行分层、分段简化决策的思维过程 .仿真结果描述了这种方法的性能

A method of complex system identification is presented. The paper arranges the test by orthogonal experiment ,and then realizes the system identification by using a neural network based on GA. In the end, it gives an example of identifying the relationship among the factors of exhaust noise on engine S195 to prove that this method is effective and precise.

给出了一种解决一类复杂系统辨识问题的方法。先用正交试验安排好实验过程,然后采用基于遗传算法的神经网络实现对系统的辨识。本文通过辨识S195柴油机排气噪声规律方程的例子,证明了这种方法不失为解决此类问题的一种有效方法。

Takagi-Sugeno type fuzzy models have been widely applied into identifying complex systems,but the identifiability issue of it is few talked about. In this paper,the identifiability condition of Takagi-Sugeno type fuzzy models is provided when the number of rules and the priors are known.

Takagi- Sugeno模糊模型广泛应用于对复杂系统的辨识 ,但可辨识性问题很少涉及。本文给出在规则数和规则前件确定的情况下 ,Takagi- Sugeno模糊模型的可辨识性条件。

 
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