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matlab例程 Classify using the minimum error criterion via histogram estimation of the densities
Classify using the minimum error criterion via histogram estimation of the densities
模拟电子 pwm教程
The equal-area theorem●This is sinusoidal PWM (SPWM)●The equal-area theorem can be appliedto realize any shape of waveforms
●Natural sampling●Calculation based on equal-area criterion●Selected harmonic elimination●Regular sampling●Hysteresis-band control●Triangular wave comparison withfeedba ...
单片机编程 基于LabVIEW和单片机的空调温度场测量系统的研究
基于LabVIEW和单片机的空调温度场测量系统的研究:室内温度是空调系统舒适性的重要指标,对其及时、准确地测量显得非常重要。介绍单片机AT89C51 和数字式、单总线型温度传感器DS18B20 组成矩形测量网络采集空调室内40 点温度,LabVIEW作为开发平台,二者之间通过串口实现数据通信,利用LabVIEW强大的数据处理和显示功能对采集的 ...
数值算法/人工智能 The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Trunca
The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated .
The number of independent components are calculated using Bayes Information Criterion (BIC), ...
电子书籍 The problem of ¯ nding a linear discriminant function will be formulated as a problem of minimi
The problem of ¯ nding a linear discriminant function will be formulated as a problem
of minimizing a criterion function
人工智能/神经网络 he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood form
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The number of independent components are calculated using ...
matlab例程 The main features of the considered identification problem are that there is no an a priori separati
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 ...
matlab例程 The toolbox solves a variety of approximate modeling problems for linear static models. The model ca
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There ar ...
matlab例程 PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A componen
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std ...
GPS编程 function [U,V,num_it]=fcm(U0,X) ％ MATLAB (Version 4.1) Source Code (Routine fcm was written by R
function [U,V,num_it]=fcm(U0,X)
％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
％ Hathaway on June 21, 1994.) The fuzzification constant
％ m = 2, and the stopping criterion for successive partitions is epsilon =??????.
％*******Modified 9/15/04 to have epsilon = ...