代码搜索：BATCH
找到约 6,125 项符合「BATCH」的源代码
代码结果 6,125
www.eeworm.com/read/288304/8643885
m batch2.m
make_rp;
rp.T = 2.9; rp.name = 'run11'; run_qrd_lsl(rp);
rp.T = 3.1; rp.name = 'run12'; run_qrd_lsl(rp);
rp.T = 3.3; rp.name = 'run13'; run_qrd_lsl(rp);
rp.T = 3.5; rp.name = 'run14'; run_qrd_lsl(rp)
www.eeworm.com/read/386430/8748450
m batch01.m
%BATCH01.m
%------------------ Batch Processing ----------------------------- %
% 2006/12/10 made by vin --- 2007/11/1 change by Wilson
clear all;
close all
load obs.dat
load xy.dat
fp1=f
www.eeworm.com/read/286662/8751646
m backpropagation_batch.m
function [test_targets, Wh, Wo, J] = Backpropagation_Batch(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs
www.eeworm.com/read/286662/8751713
m perceptron_batch.m
function [test_targets, a, updates] = Perceptron_Batch(train_patterns, train_targets, test_patterns, params)
% Classify using the batch Perceptron algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/183383/9160605
m channelcapacity_batch.m
%% Channel Capacity of MIMO
clear;
clc;
results=zeros(51,5);
Re_CorrelationMatrix=zeros(4,4,51);
for mm=1:4
Re_CorrelationMatrix(mm,mm,:)=1;
end
Coefficient_1_2=zeros(1,51);
Coeffi
www.eeworm.com/read/177129/9468750
m backpropagation_batch.m
function [D, Wh, Wo] = Backpropagation_Batch(train_features, train_targets, params, region)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs:
% features- Train
www.eeworm.com/read/177129/9468794
m perceptron_batch.m
function D = Perceptron_Batch(train_features, train_targets, params, region)
% Classify using the batch Perceptron algorithm
% Inputs:
% features - Train features
% targets - Train targets
www.eeworm.com/read/372113/9521088
m backpropagation_batch.m
function [test_targets, Wh, Wo, J] = Backpropagation_Batch(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs