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/299459/7850784
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/198191/7947820
m perceptron.m
% %Question No: 5 (a)
% Determine the weights of a network with 4 input and 2 output units using
% Perceptron Learning Law for the following input-output pairs:
% Input: [1100]' [1001]' [0011]'
www.eeworm.com/read/397106/8067645
m perceptron.m
function D = Perceptron(train_features, train_targets, alg_param, region)
% Classify using the Perceptron algorithm
% Inputs:
% features - Train features
% targets - Train targets
% alg_param -
www.eeworm.com/read/397099/8068817
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/196366/8096856
cs perceptron.cs
using System;
using System.Collections.Generic;
using System.Text;
using System.Collections;
namespace homework1
{
class perceptron
{
public double[] w;
public double
www.eeworm.com/read/245941/12770871
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/143706/12850080
m perceptron.m
function [Y_compute, Y_prob] = Perceptron(para, X_train, Y_train, X_test, Y_test, num_class)
global temp_model_file preprocess;
Y_compute = zeros(size(Y_test)); Y_prob = zeros(size(Y_test));
if
www.eeworm.com/read/330850/12864874
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/317622/13500858
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/316604/13520434
m perceptron.m
function D = Perceptron(train_features, train_targets, alg_param, region)
% Classify using the Perceptron algorithm (Fixed increment single-sample perceptron)
% Inputs:
% features - Train featur