代码搜索：Perceptron
找到约 779 项符合「Perceptron」的源代码
代码结果 779
www.eeworm.com/read/386597/2570139
m perceptron.m
function [test_targets, a] = Perceptron(train_patterns, train_targets, test_patterns, alg_param)
% Classify using the Perceptron algorithm (Fixed increment single-sample perceptron)
% Inputs:
%
www.eeworm.com/read/376881/2706641
m perceptron.m
function model=perceptron(data,options,init_model)
% PERCEPTRON Perceptron algorithm to train binary linear classifier.
%
% Synopsis:
% model = perceptron(data)
% model = perceptron(data,options)
%
www.eeworm.com/read/371708/2779011
m perceptron.m
function model=perceptron(data,options,init_model)
% PERCEPTRON Perceptron algorithm to train binary linear classifier.
%
% Synopsis:
% model = perceptron(data)
% model = perceptron(data,options)
%
www.eeworm.com/read/474600/6813457
m perceptron.m
function [test_targets, a] = Perceptron(train_patterns, train_targets, test_patterns, alg_param)
% Classify using the Perceptron algorithm (Fixed increment single-sample perceptron)
% Inputs:
%
www.eeworm.com/read/472930/6859847
h perceptron.h
#ifndef __PERCEPTRON_H__
#define __PERCEPTRON_H__
#include "sensory.h"
#include "visualsystem.h"
#include "auditorysystem.h"
namespace Perceptron
{
extern Sensory sensory;
extern Visua
www.eeworm.com/read/472930/6859855
cpp perceptron.cpp
// Perceptron.cpp: implementation of the Perceptron class.
//
//////////////////////////////////////////////////////////////////////
#include "perceptron.h"
namespace Perceptron{
Sensory sen
www.eeworm.com/read/369892/9630373
h perceptron.h
// -*-c++-*-
//===========================================================
//= University of Illinois at Urbana-Champaign =
//= Department of Computer Science =
/
www.eeworm.com/read/369892/9630398
cpp perceptron.cpp
//===========================================================
//= University of Illinois at Urbana-Champaign =
//= Department of Computer Science =
//= Dr. Da
www.eeworm.com/read/171374/9758611
m perceptron.m
function Perceptron(CLassNum,Sample1,Sample2);
n1=size(Sample1);
for i=1:n1(1)
ExtendSample1(i,:)=[Sample1(i,:) 1]; %样本1分量增广化，训练样本增加分量1
end;
n2=size(Sample2);
for i=1:n2(1)
ExtendSampl
www.eeworm.com/read/415313/11076759
m perceptron.m
% Perceptron: implementation for perceptron
%
% Parameters:
% para: parameters
% 1. MaxIter: maximum iterations, default: 100
% 2. CostFactor: weighting between postive data and negative dat