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/421949/10676488

m kernel1.m

function [k] = kernel1(a,b,ker,arg) % function [k] = kernel(a,b,ker,arg) % % KERNEL computes a dot product of the point a and b after % non-linear mapping of these point. The non-linear mapping % is
www.eeworm.com/read/430506/1929395

m kernel1.m

function [k] = kernel1(a,b,ker,arg) % function [k] = kernel(a,b,ker,arg) % % KERNEL computes a dot product of the point a and b after % non-linear mapping of these point. The non-linear mapping % is
www.eeworm.com/read/373460/2761829

m kernel1.m

function [k] = kernel1(a,b,ker,arg) % function [k] = kernel(a,b,ker,arg) % % KERNEL computes a dot product of the point a and b after % non-linear mapping of these point. The non-linear mapping % is
www.eeworm.com/read/367442/9747805

m kernel1.m

function [k] = kernel1(a,b,ker,arg) % function [k] = kernel(a,b,ker,arg) % % KERNEL computes a dot product of the point a and b after % non-linear mapping of these point. The non-linear mapping % is
www.eeworm.com/read/431675/8662099

m mds.m

% MDS Non-linear mapping by multi-dimensional scaling (Sammon) % % [W,E] = MDS (D,k,Q,INIT,INSPECT) % % Calculates a non-linear mapping W of a distance matrix D to k dimensions. % A stress measure
www.eeworm.com/read/418695/10935441

m mds.m

% MDS Non-linear mapping by multi-dimensional scaling (Sammon) % % [W,E] = MDS (D,k,Q,INIT,INSPECT) % % Calculates a non-linear mapping W of a distance matrix D to k dimensions. % A stress measure
www.eeworm.com/read/397102/8068267

m mds.m

% MDS Non-linear mapping by multi-dimensional scaling (Sammon) % % [W,E] = MDS (D,k,Q,INIT,INSPECT) % % Calculates a non-linear mapping W of a distance matrix D to k dimensions. % A stress measure
www.eeworm.com/read/342008/12047263

m mds.m

% MDS Non-linear mapping by multi-dimensional scaling (Sammon) % % [W,E] = MDS (D,k,Q,INIT,INSPECT) % % Calculates a non-linear mapping W of a distance matrix D to k dimensions. % A stress measure
www.eeworm.com/read/293183/8310610

m mds.m

% MDS Non-linear mapping by multi-dimensional scaling (Sammon) % % [W,E] = MDS (D,k,Q,INIT,INSPECT) % % Calculates a non-linear mapping W of a distance matrix D to k dimensions. % A stress measure
www.eeworm.com/read/431675/8661706

m persc.m

%PERSC Linear classifier by non-linear perceptron % % [W1,W2] = persc(A,n,step,target,W) % % Finds the linear discriminant function W1 (a mapping) by n cycles % of the data through the non-linear