代码搜索:nonlinear

找到约 2,099 项符合「nonlinear」的源代码

代码结果 2,099
www.eeworm.com/read/257015/4366741

m nnrarmx2.m

function [W1,W2,PI_vector,iteration]=nnrarmx2(NetDef,NN,W1,W2,trparms,method,Y,U) % NNRARMX2 % --------- % Determines a nonlinear ARMAX model % y(t)=f(y(t-1),.
www.eeworm.com/read/147096/12584969

m fsolve2.m

function [xf,termcode,path] = fsolve2(fvec,x0,details,fparam,jac,scale) %FSOLVE2 Solution to a system of nonlinear equations. % X = FSOLVE2('f',X0) starts at X0 and produces a new vector X which %
www.eeworm.com/read/202224/15389126

m fitfun2.m

function [enorm,p]=fitfun2(x,tdata,ydata) %ENORM Norm of fit to example nonlinear function % f(t) = p(1)+p(2)*exp(x(1)*t)+p(3)*exp(x(2)*t) % % ENORM(X,Tdata,Ydata) returns norm(Ydata-f(Tdata)) %
www.eeworm.com/read/101557/15826896

m fsolve2.m

function [xf,termcode,path] = fsolve2(fvec,x0,details,fparam,jac,scale) %FSOLVE2 Solution to a system of nonlinear equations. % X = FSOLVE2('f',X0) starts at X0 and produces a new vector X which %
www.eeworm.com/read/170249/9813428

m nnrarmx2.m

function [W1,W2,PI_vector,iteration]=nnrarmx2(NetDef,NN,W1,W2,trparms,Y,U) % NNRARMX2 % --------- % Determines a nonlinear ARMAX model % y(t)=f(y(t-1),...,u(t-
www.eeworm.com/read/469123/6977876

m demo_gparm.m

% demo script to illustrate use of gpr.m on 6-d input data % using David MacKay's robot arm problem. % MacKay (1992) considered the nonlinear robot arm mapping problem % f(x_1,x_2) = r_1 cos (x_1) +
www.eeworm.com/read/359744/6979472

m ch8_function_approximation.m

% Nonlinear Dynamic System Identification in chapter 8 by GD-FNN % Revised 11-5-2006 % Copyright Wu Shiqian.clear all close all clear all rand('seed',50); p=rand(3,216)*5+1; t=(1+p(1,:).^0.5+p(
www.eeworm.com/read/255577/12072771

asv f_rbfw.asv

function [w,e] = f_rbfw (f,N,a,b,m,n,d,mu,ic,w) % F_RBFW: Nonlinear system identification using an RBF network % % Usage: [w,e] = f_rbfw (f,N,a,b,m,n,d,mu,ic,w) % % Inputs: % f = str
www.eeworm.com/read/255577/12072795

m f_rbfw.m

function [w,e] = f_rbfw (f,N,a,b,m,n,d,mu,ic,w) % F_RBFW: Nonlinear system identification using an RBF network % % Usage: [w,e] = f_rbfw (f,N,a,b,m,n,d,mu,ic,w) % % Inputs: % f = str
www.eeworm.com/read/351636/3102721

cxx test_include.cxx

#include #include #include #include #include