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/372113/9521162
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/371501/9551135
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/166821/9996368
h perceptron.h
#pragma once
#include
#include "Layer.h"
#include "Synapse.h"
#include "Neuron.h"
#include
class Perceptron
{
public:
~Perceptron(void){};
CList layers;
CL
www.eeworm.com/read/362246/10010383
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/362008/10023854
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/165315/10068143
java perceptron.java
import java.util.*;
public class Perceptron
{
Vector layers;
//static Vector inputSamples;
//static Vector outputSamples;
static Vector alpha;
public Layer inputLayer;
pu
www.eeworm.com/read/357874/10199097
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:
%