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www.eeworm.com/read/351797/10609880
m dagsvm.m
function net = dagsvm(arg)
% PAIRWISE
%
% Construct a dag-svm multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class dagsvm network!)
%
%
www.eeworm.com/read/273047/10930342
m dagsvm.m
function net = dagsvm(arg)
% PAIRWISE
%
% Construct a dag-svm multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class dagsvm network!)
%
%
www.eeworm.com/read/343753/6963602
readme_ann
Matlab files for artificial neural networks described in "Regularization tools for training large feed-forward neural networks using Automatic Differentiation" by J. Eriksson, M. Gulliksson, P. Lindst
www.eeworm.com/read/456357/7351248
h buildn.h
/*
YAKS, a Khepera simulator including a separate GA and ANN
(Genetic Algoritm, Artificial Neural Net).
Copyright (C) 2000 Johan Carlsson (johanc@ida.his.se)
This program is free software
www.eeworm.com/read/399026/7900065
m pcnn_large_arrange.m
function R=PCNN_large_arrange(matrix,link_arrange,np,pre_flag)
% R=PCNN_large_arrange(matrix,link_arrange,np,pre_flag)
% compute the fire times of each pixel in the PCNN
% np is the iterative time
www.eeworm.com/read/398324/7994147
m maxwin.m
function net = maxwin(arg, sv, w, bias, C, zeta)
% MAXWIN
%
% Construct a max-win multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class maxw
www.eeworm.com/read/398324/7994265
m maxwin.m
function net = maxwin(arg, sv, w, bias, C, zeta)
% MAXWIN
%
% Construct a max-win multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class maxw
www.eeworm.com/read/398324/7994449
m pairwise.m
function net = pairwise(arg)
% PAIRWISE
%
% Construct a pairwise multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class pairwise network!)
%
www.eeworm.com/read/398324/7994610
m pairwise.m
function net = pairwise(arg)
% PAIRWISE
%
% Construct a pairwise multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class pairwise network!)
%
www.eeworm.com/read/245176/12813187
m maxwin.m
function net = maxwin(arg, sv, w, bias, C, zeta)
% MAXWIN
%
% Construct a max-win multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class maxw