This program simulates plant Identification least mean square (NLMS) alogrithm reference: 《LMS算法的頻域快速實(shí)現(xiàn)》
標(biāo)簽： Identification alogrithm simulates reference
上傳時(shí)間： 2013-12-17
上傳用戶：kristycreasy
This program simulates plant Identification using frequency block least mean square (FBLMS) alogrithm reference: 《LMS算法的頻域快速實(shí)現(xiàn)》 LMS is modified by XXX in XXX place, see details in XXX relevant document
標(biāo)簽： Identification frequency simulates alogrith
上傳時(shí)間： 2016-02-29
上傳用戶：kytqcool
map Identification laquo yuan Problem description : the digital image processing of an image often expressed as a macute M pixel matrix. Each pixel value is 0 or 1. The value of 0 pixel image, said background, and the value of a pixel image, said a map of a million, usually called map million pixels. When a pixel in another pixels above, below, left or right, said that two adjacent pixels of the pixel. An image of the pixels belonging to the same map yuan, instead of adjacent pixels belonging to different map yuan. Figure yuan Identification of problems is right for the given image pixel map marking yuan, making the same map billion yuan pixel map of the same markings and different map billion yuan pixel map of their marks are different. Trial queue abstract data type design solut
標(biāo)簽： image Identification description processing
上傳時(shí)間： 2013-12-15
上傳用戶：15736969615
環(huán)境下構(gòu)建一種新的系統(tǒng)辨識仿真工具箱(SIST: System Identification Toolbox)的原理與實(shí)現(xiàn),討論了在MATLAB 環(huán)境下工具箱的數(shù)據(jù)和算法結(jié)構(gòu)形式,以及利用GUIDE完成圖行界面的設(shè)計(jì),用MATLAB 與C++混編技術(shù)實(shí)現(xiàn)物理系統(tǒng)的I/O 接口和系統(tǒng)辨識...
標(biāo)簽： Identification Toolbox MATLAB System
上傳時(shí)間： 2016-03-29
上傳用戶：wang0123456789
System Identification s matlab program
標(biāo)簽： Identification program System matlab
上傳時(shí)間： 2016-03-31
上傳用戶：sssl
The neuro-fuzzy software for Identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，據(jù)高手說，非常有用。
標(biāo)簽： Identification neuro-fuzzy implemented analysis
上傳時(shí)間： 2014-01-12
上傳用戶：zgu489
Nonparametric Identification Of A Particular Nonlinear Time Series System
標(biāo)簽： Identification Nonparametric Particular Nonlinear
上傳時(shí)間： 2014-11-30
上傳用戶：515414293
Enhance Extened Display Identification data Standard
標(biāo)簽： Identification Standard Enhance Display
上傳時(shí)間： 2016-06-14
上傳用戶：lhc9102
Single Neural Net PID Controller based on RBF Identification using matlab
標(biāo)簽： Identification Controller Single Neural
上傳時(shí)間： 2014-11-29
上傳用戶：ddddddos
The main features of the considered Identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate Identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
標(biāo)簽： Identification considered features separati
上傳時(shí)間： 2016-09-20
上傳用戶：FreeSky
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