Classify using the minimum error criterion via histogram estimation of the densities
Classify using the minimum error criterion via histogram estimation of the densities...
Classify using the minimum error criterion via histogram estimation of the densities...
The equal-area theorem●This is sinusoidal PWM (SPWM)●The equal-area theorem can be appliedto realize...
基于LabVIEW和單片機的空調溫度場測量系統的研究:室內溫度是空調系統舒適性的重要指標,對其及時、準確地測量顯得非常重要。介紹單片機AT89C51 和數字式、單總線型溫度傳感器DS18B20 組成矩...
The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Trunca...
The problem of ¯ nding a linear discriminant function will be formulated as a problem of minimi...
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood form...
The main features of the considered identification problem are that there is no an a priori separati...
The toolbox solves a variety of approximate modeling problems for linear static models. The model ca...
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A componen...
function [U,V,num_it]=fcm(U0,X) % MATLAB (Version 4.1) Source Code (Routine fcm was written by R...