代码搜索：Recurrent

找到约 100 项符合「Recurrent」的源代码

代码结果 100
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/372113/9521346

m backpropagation_recurrent.m

function [test_targets, W, J] = Backpropagation_Recurrent(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation recurrent network with a batch learning algorithm
·
www.eeworm.com/read/362008/10024009

m backpropagation_recurrent.m

function [test_targets, W, J] = Backpropagation_Recurrent(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation recurrent network with a batch learning algorithm
·
www.eeworm.com/read/163251/10168449

dsp first_recurrent.dsp

# Microsoft Developer Studio Project File - Name="first_recurrent" - Package Owner= # Microsoft Developer Studio Generated Build File, Format Version 6.00 # ** DO NOT EDIT ** # TARGTYPE "Win32
·
www.eeworm.com/read/163251/10168489

dsp recurrent2.dsp

# Microsoft Developer Studio Project File - Name="recurrent2" - Package Owner= # Microsoft Developer Studio Generated Build File, Format Version 6.00 # ** DO NOT EDIT ** # TARGTYPE "Win32 (x86
·
www.eeworm.com/read/163251/10168519

help recurrent2.help

"recurren2.cpp" Help File The purpose is to test a recurrent networks ability to learn the XOR function and to function on a KOHEN_SOFM function and learning rule, as opposed to the convention
·
www.eeworm.com/read/163251/10168526

cpp recurrent2.cpp

/* nn-utility (Provides neural networking utilities for c++ programmers) Copyright (C) 2003 Panayiotis Thomakos This library is free software; you can redistribute it and/or modi
·
www.eeworm.com/read/357874/10199188

m backpropagation_recurrent.m

function [test_targets, W, J] = Backpropagation_Recurrent(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation recurrent network with a batch learning algorithm
·
www.eeworm.com/read/349842/10796951

m backpropagation_recurrent.m

function [D, Wh, Wo] = Backpropagation_Recurrent(train_features, train_targets, params, region) % Classify using a backpropagation recurrent network with a batch learning algorithm % Inputs: % f
·
www.eeworm.com/read/349415/10828184

dsp first_recurrent.dsp

# Microsoft Developer Studio Project File - Name="first_recurrent" - Package Owner= # Microsoft Developer Studio Generated Build File, Format Version 6.00 # ** DO NOT EDIT ** # TARGTYPE "Win32
·
www.eeworm.com/read/349415/10828221

dsp recurrent2.dsp

# Microsoft Developer Studio Project File - Name="recurrent2" - Package Owner= # Microsoft Developer Studio Generated Build File, Format Version 6.00 # ** DO NOT EDIT ** # TARGTYPE "Win32 (x86
·