代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/192078/8408363
m rbf.m
%RBF Radial Basis Function algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Nneur - number of neurons
% Sx - standard deviation
www.eeworm.com/read/287897/8663003
txt galog.txt
generation best average standard
number value fitness deviation
1, 2.771, -25.112, 10.426
2, 2.771, -28.340, 8.548
3, 2.771, -28.749, 6.980
4, 2
www.eeworm.com/read/285485/8836180
m afqrrls1.m
%AFQRRLS1 Problem 1.1.1.1.2.10
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% Wo - coefficie
www.eeworm.com/read/360885/10073406
c median4.c
/*
* calculates the median of co-ordinates for our linknew
* try defining triangle by diagonal line
* find median absolute deviation of Xs, and of Ys
* take intersections(?) as diagonal
*
* used
www.eeworm.com/read/159851/10608511
c median4.c
/*
* calculates the median of co-ordinates for our linknew
* try defining triangle by diagonal line
* find median absolute deviation of Xs, and of Ys
* take intersections(?) as diagonal
*
* used
www.eeworm.com/read/449504/7503132
m studentize.m
function t = studentize(x)
% PURPOSE: If x is a vector, subtract its mean and divide
% by its standard deviation. If x is a matrix,
% do the above for each column.
%---------------
www.eeworm.com/read/195849/8126655
m calclocalizationcrb.m
%function [stdevs, bound, F, avgNeighb] = calcLocalizationCRB(method, x, y, blinds, total, channelParam, measMade, d_thr)
%
%OUTPUTS:
% stdevs: Bounds for the standard deviation of localization
www.eeworm.com/read/333410/12684458
m calclocalizationcrb.m
%function [stdevs, bound, F, avgNeighb] = calcLocalizationCRB(method, x, y, blinds, total, channelParam, measMade, d_thr)
%
%OUTPUTS:
% stdevs: Bounds for the standard deviation of localization
www.eeworm.com/read/145776/12703034
m sfrls1.m
%SFRLS1 Problem 1.1.1.1.2.7
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% Wo - coefficient
www.eeworm.com/read/145776/12703048
m afqrrls1.m
%AFQRRLS1 Problem 1.1.1.1.2.10
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% sigmax - standard deviation of input
% Wo - coefficie