代码搜索:non-linear

找到约 518 项符合「non-linear」的源代码

代码结果 518
www.eeworm.com/read/441245/7673234

m nlfisherm.m

%NLFISHERM Non-linear Fisher Mapping according to Marco Loog % % W = NLFISHERM(A,N) % % INPUT % A Dataset % N Number of dimensions (optional; default: MIN(K,C)-1, where % K is the di
www.eeworm.com/read/400577/11573198

m nlfisherm.m

%NLFISHERM Non-linear Fisher Mapping according to Marco Loog % % W = NLFISHERM(A,N) % % INPUT % A Dataset % N Number of dimensions (optional; default: MIN(K,C)-1, where % K is the di
www.eeworm.com/read/189063/8492779

m da_olt4.m

function [ypred]=da_olt1(x,coefs,poly); % % Non-linear steady-state model % % % Ensure the coefficients are in a column % [D L]=size(coefs); if L > D coefs=coefs'; end % % Calculate
www.eeworm.com/read/388439/8609377

m da_olt4.m

function [ypred]=da_olt1(x,coefs,poly); % % Non-linear steady-state model % % % Ensure the coefficients are in a column % [D L]=size(coefs); if L > D coefs=coefs'; end % % Calculate
www.eeworm.com/read/288527/8626654

m da_olt4.m

function [ypred]=da_olt1(x,coefs,poly); % % Non-linear steady-state model % % % Ensure the coefficients are in a column % [D L]=size(coefs); if L > D coefs=coefs'; end % % Calculate
www.eeworm.com/read/177981/9425026

m da_olt4.m

function [ypred]=da_olt1(x,coefs,poly); % % Non-linear steady-state model % % % Ensure the coefficients are in a column % [D L]=size(coefs); if L > D coefs=coefs'; end % % Calculate
www.eeworm.com/read/164272/10120192

m da_olt4.m

function [ypred]=da_olt1(x,coefs,poly); % % Non-linear steady-state model % % % Ensure the coefficients are in a column % [D L]=size(coefs); if L > D coefs=coefs'; end % % Calculate
www.eeworm.com/read/162415/10307493

m nnls.m

%NNLS Non-linear least squares % % x=nnls(a,b,tolerance) returns the best solution, in the least-squares sense, % to the problem % % min |ax-b|^2 s.t. x
www.eeworm.com/read/159921/10588280

m minball.m

function [Alpha, R, mi2] = minball(data,ker, arg) % MINBALL computes minimal ball around data. % [Alpha, R, mi2 ] = minball(data,ker, arg) % % It computes a center and a radius of minimal ball % arou
www.eeworm.com/read/159601/10636326

m da_olt4.m

function [ypred]=da_olt1(x,coefs,poly); % % Non-linear steady-state model % % % Ensure the coefficients are in a column % [D L]=size(coefs); if L > D coefs=coefs'; end % % Calculate