代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/347945/11624536
m export.m
function [model,recoverdata,diagnostic,interfacedata] = export(varargin)
%EXPORT Exports YALMIP problem to solver specific format
%
% [MODEL,RECOVERYMODEL,DIAGNOSTIC,INTERNAL] = EXPORT(F,h,optio
www.eeworm.com/read/347811/11635043
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/259886/11759495
m contents.m
% Neural Network Demonstrations.
%
% Neural Network Toolbox Demonstrations and Applications
% ------------------------------------------------------
%
% Perceptrons
% demop1 - Classification
www.eeworm.com/read/154122/11988685
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/154064/11990772
cls key_1.cls
\FORMAT\ SORT=N
; @(#)key_1.cls 1.1 4/29/94 14:07:27
;
; Single element key.
;
; Classification not used for single element key. File contains dummy
; record.
;
0 0 0
www.eeworm.com/read/255755/12057342
m bpxnc.m
%BPXNC Back-propagation trained feed-forward neural net classifier
%
% [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% A Dataset
% UNITS Array indicating number of units in each h
www.eeworm.com/read/152310/12122639
m contents.m
% Neural Network Design Demonstrations.
% Copyright (c) 1994 by PWS Publishing Company.
%
% General
% nnd - Splash screen.
% nndtoc - Table of contents.
% nnsound - Turn Neural Net
www.eeworm.com/read/152129/12138211
m success.m
function rate=success(classification, stest, strain)
% success(classification, stest, strain)
%
% Returns the success rate of the classification.
%
% 'classification': vector created by function
www.eeworm.com/read/151851/12168739
m contents.m
% Neural Network Design Demonstrations.
% Copyright (c) 1994 by PWS Publishing Company.
%
% General
% nnd - Splash screen.
% nndtoc - Table of contents.
% nnsound - Turn Neural Net
www.eeworm.com/read/339991/12188614
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o