代码搜索：Netlab
找到约 753 项符合「Netlab」的源代码
代码结果 753
www.eeworm.com/read/368386/2818255
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/350657/3122269
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/264095/4295647
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/161121/5559264
h nsp_cs.h
/*=======================================================/
Header file for nsp_cs.c
By: YOKOTA Hiroshi
Ver.1.0 : Cut unused lines.
Ver 0.1 : Initial v
www.eeworm.com/read/170936/9779230
m contents.m
% Netlab Toolbox
% Version 3.2.1 31-Oct-2001
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist - Ch
www.eeworm.com/read/367152/9780202
m lans_psurf2mix.m
% lans_psurf2mix - Translate key psurf structures to NETLAB's mix structure
%
% [mix] = lans_psurf2mix(psurf[,mix])
%
% _____OUTPUTS____________________________________________________________
% mix N
www.eeworm.com/read/415313/11076480
m contents.m
% Netlab Toolbox
% Version 3.2.1 31-Oct-2001
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist - Ch
www.eeworm.com/read/413912/11137186
m contents.m
% Netlab Toolbox
% Version 3.2.1 31-Oct-2001
%
% conffig - Display a confusion matrix.
% confmat - Compute a confusion matrix.
% conjgrad - Conjugate gradients optimization.
% consist - Ch
www.eeworm.com/read/397097/8069203
m mog_dd.m
%MOG_DD Mixture of Gaussians data description
%
% W = mog_dd(A,fracrej,n)
%
% Training of a mixture of gaussians, with n gaussians.
%
% Algorithm was inspired from NetLab, Bishop but changed ver
www.eeworm.com/read/415313/11076740
m neuralnet.m
% NeuralNet: wrapper for multi-layer perceptron (from NETLAB)
%
% Parameters:
% para: parameters
% 1. NHidden: number of hidden nodes, default: 10
% 2. NOut: number of output nodes, default: