代码搜索：Beta值
找到约 10,000 项符合「Beta值」的源代码
代码结果 10,000
www.eeworm.com/read/402158/2330777
svn-base release_notes.txt.svn-base
kSOAP a lightweight SOAP library for java.
History
=======
2.1.0 2006/04/19 Beta Release
- No reported problems. Full Release
2.1.0-beta 2006/03/13 Beta Release
- Corrected a compile problem wher
www.eeworm.com/read/445214/1725934
m mymodel.m
%首先定义非线性函数的M文件mymodel.m:
function yy=model(beta0,x)
a=beta0(1);b=beta0(2);c=beta0(3);d=beta0(4);e=beta0(5);f=beta0(6);
x1=x(:,1);x2=x(:,2);
yy=a.*x1.^2+b.*x1+c.*x2.^2+d.*x2+e*x1.*x2+f;
www.eeworm.com/read/425958/1999696
m mymodel.m
%首先定义非线性函数的M文件mymodel.m:
function yy=model(beta0,x)
a=beta0(1);b=beta0(2);c=beta0(3);d=beta0(4);e=beta0(5);f=beta0(6);
x1=x(:,1);x2=x(:,2);
yy=a.*x1.^2+b.*x1+c.*x2.^2+d.*x2+e*x1.*x2+f;
www.eeworm.com/read/387009/8712310
h deviates.h
struct Expondev : Ran {
Doub beta;
Expondev(Doub bbeta, Ullong i) : Ran(i), beta(bbeta) {}
Doub dev() {
Doub u;
do u = doub(); while (u == 0.);
return -log(u)/beta;
}
};
struct Logi
www.eeworm.com/read/13871/284307
m logistk_eval.m
function [post,lik,lli] = logistK_eval(beta,x,y)
% [post,lik,lli] = logistK_eval(beta,x,y)
%
% Evaluate logistic regression model.
%
% INPUT
% beta dxk model coefficients (as returned by logi
www.eeworm.com/read/388424/8610111
m hougen.m
function yhat=hougen(beta,x)
b1 = beta(1);
b2 = beta(2);
b3 = beta(3);
b4 = beta(4);
b5 = beta(5);
x1 = x(:,1);
x2 = x(:,2);
x3 = x(:,3);
yhat = (b1*x2 - x3/b5)./(1+b2*x1+b3*x2+b4*x3);
www.eeworm.com/read/385478/8803706
m hougen.m
function yhat=hougen(beta,x)
b1 = beta(1);
b2 = beta(2);
b3 = beta(3);
b4 = beta(4);
b5 = beta(5);
x1 = x(:,1);
x2 = x(:,2);
x3 = x(:,3);
yhat = (b1*x2 - x3/b5)./(1+b2*x1+b3*x2+b4*x3);
www.eeworm.com/read/383482/8943106
m hougen.m
function yhat=hougen(beta,x)
b1 = beta(1);
b2 = beta(2);
b3 = beta(3);
b4 = beta(4);
b5 = beta(5);
x1 = x(:,1);
x2 = x(:,2);
x3 = x(:,3);
yhat = (b1*x2 - x3/b5)./(1+b2*x1+b3*x2+b4*x3);
www.eeworm.com/read/357607/10205121
m hougen.m
function yhat=hougen(beta,x)
b1 = beta(1);
b2 = beta(2);
b3 = beta(3);
b4 = beta(4);
b5 = beta(5);
x1 = x(:,1);
x2 = x(:,2);
x3 = x(:,3);
yhat = (b1*x2 - x3/b5)./(1+b2*x1+b3*x2+b4*x3);
www.eeworm.com/read/272199/10965945
m hougen.m
function yhat=hougen(beta,x)
b1 = beta(1);
b2 = beta(2);
b3 = beta(3);
b4 = beta(4);
b5 = beta(5);
x1 = x(:,1);
x2 = x(:,2);
x3 = x(:,3);
yhat = (b1*x2 - x3/b5)./(1+b2*x1+b3*x2+b4*x3);