登录
首页 » matlab » GNN_1_1b

GNN_1_1b

于 2020-07-03 发布 文件大小:473KB
0 269
下载积分: 1 下载次数: 18

代码说明:

  基于GNN神经网络的系统仿真,具有较好的仿真效果。(Based on GNN neural network system simulation, has a good simulation results.)

文件列表:

GNN_1_1b
........\GNN 1.1b
........\........\comparisonNet
........\........\.............\initializeComparisonNet.m,1962,2007-12-15
........\........\.............\learnComparisonNet.m,5195,2007-12-15
........\........\.............\plotComparisonNetTrainingResults.m,613,2007-12-15
........\........\.............\testComparisonNet.m,7469,2007-12-15
........\........\Configure.m,39956,2011-03-01
........\........\datasets
........\........\........\CliqueDataset.config,1039,2007-12-15
........\........\........\HalfHotDataset.config,892,2007-12-15
........\........\........\makeCliqueDataset.m,9487,2007-12-15
........\........\........\makeCliqueDataset_fix_rand.m,9786,2007-12-15
........\........\........\makeGeneralDataset.m,8650,2007-12-15
........\........\........\makeHalfHotDataset.m,11774,2007-12-15
........\........\........\makeMutagenicDataset.m,13115,2013-02-11
........\........\........\makeNeighborsDataset.m,9303,2007-12-15
........\........\........\makeOddEvenDataset.m,7952,2007-12-15
........\........\........\makeParityDataset.m,7941,2007-12-15
........\........\........\makeSecondOrderNeighborsDataset.m,9856,2007-12-15
........\........\........\makeSubGraphDataset.m,11308,2007-12-15
........\........\........\makeTmpDataset.m,1891,2007-12-15
........\........\........\makeTreeDepthDataset.m,9592,2007-12-15
........\........\........\makeWebPagesScoringDataset.m,10743,2007-12-15
........\........\........\muta-f.pl,390315,2007-12-15
........\........\........\muta-u.pl,77086,2007-12-15
........\........\........\muta.pl,467401,2007-12-15
........\........\........\muta.pl_new,357429,2007-12-15
........\........\........\NeighborsDataset.config,854,2007-12-15
........\........\........\ParityDataset.config,806,2007-12-15
........\........\........\SecondOrderNeighborsDataset.config,875,2007-12-15
........\........\........\SubGraphMatchingDataset.config,1120,2007-12-15
........\........\........\TreeDepthDataset.config,788,2007-12-15
........\........\........\TreeDepthDataset.config.backup,808,2007-12-15
........\........\........\WebPagesScoringDataset.config,868,2007-12-15
........\........\experiments
........\........\...........\init_class.m,432,2007-12-15
........\........\...........\save_learning.m,1046,2007-12-15
........\........\...........\start_learning.m,161,2007-12-15
........\........\...........\test_learning.m,1600,2007-12-15
........\........\GNN.config,2857,2011-03-01
........\........\GNN_DOC.pdf,190123,2011-07-21
........\........\initialization
........\........\..............\initializeNet.m,1547,2007-12-15
........\........\isomorphism
........\........\...........\areIsomorph.m,1664,2007-12-15
........\........\...........\isomorphism.mat,4295,2007-12-15
........\........\...........\mygetPR.m,282,2007-12-15
........\........\...........\mytest.m,287,2007-12-15
........\........\learn.m,552,2007-12-15
........\........\MLP
........\........\...\initializeMLP.m,1653,2007-12-15
........\........\...\testMLP.m,2656,2007-12-15
........\........\...\trainMLP.m,4954,2007-12-15
........\........\neuralNetworks
........\........\..............\backwardOneLayerLinearOutNet.m,431,2007-12-15
........\........\..............\backwardOneLayerNet.m,826,2007-12-15
........\........\..............\backwardTwoLayerLinearOutNet.m,725,2007-12-15
........\........\..............\backwardTwoLayerNet.m,982,2007-12-15
........\........\..............\forwardJacobianOneLayerLinearOutNet.m,166,2007-12-15
........\........\..............\forwardJacobianOneLayerNet.m,239,2007-12-15
........\........\..............\forwardOneLayerLinearOutNet.m,698,2007-12-15
........\........\..............\forwardOneLayerNet.m,340,2007-12-15
........\........\..............\forwardTwoLayerLinearOutNet.m,1207,2007-12-15
........\........\..............\forwardTwoLayerNet.m,1216,2007-12-15
........\........\..............\getDeltaJacobianOneLayerLinearOutNet.m,368,2007-12-15
........\........\..............\getDeltaJacobianOneLayerNet.m,521,2007-12-15
........\........\..............\getDeltaJacobianTwoLayerLinearOutNet.m,831,2007-12-15
........\........\..............\getDeltaJacobianTwoLayerNet.m,929,2007-12-15
........\........\..............\getJacobianOneLayerLinearOutNet.m,781,2007-12-15
........\........\..............\getJacobianTwoLayerLinearOutNet.m,780,2007-12-15
........\........\private
........\........\.......\displayTestRes.m,2271,2007-12-15
........\........\.......\evaluateAccuracyOnGraphs.m,652,2007-12-15
........\........\.......\learn_.m,20232,2007-12-15
........\........\.......\test4autoassociator.m,14720,2007-12-15
........\........\.......\test4autoassociator_old.m,17292,2007-12-15
........\........\.......\test4autoassociator_veryold.m,11827,2007-12-15
........\........\.......\test4classification.m,12806,2011-03-11
........\........\.......\test4regression.m,9993,2011-03-11
........\........\.......\test4uniform.m,5827,2007-12-15
........\........\save_experiment.m,376,2007-12-15
........\........\startSession.m,72,2011-03-01
........\........\systemModels
........\........\............\autoassociatorComputeDeltaError.m,637,2007-12-15
........\........\............\autoassociatorComputeError.m,1456,2007-12-15
........\........\............\linearModelInitialize.m,1128,2007-12-15
........\........\............\linearModelRunBackward.m,3807,2007-12-15
........\........\............\linearModelRunForward.m,2208,2007-12-15
........\........\............\mseComputeDeltaError.m,654,2007-12-15
........\........\............\mseComputeError.m,1344,2007-12-15
........\........\............\neuralModelAutomorphComputeError.m,1651,2007-12-15
........\........\............\neuralModelGetDeltaJacobian.m,1265,2007-12-15
........\........\............\neuralModelGetJacobian.m,1837,2007-12-15
........\........\............\neuralModelInitialize.m,6488,2007-12-15
........\........\............\neuralModelQuadraticComputeDeltaError.m,587,2007-12-15
........\........\............\neuralModelQuadraticComputeError.m,1063,2007-12-15
........\........\............\neuralModelRunBackward.m,1285,2007-12-15
........\........\............\neuralModelRunForward.m,1555,2007-12-15
........\........\............\neuralModelWithProductComputeDeltaError.m,1308,2007-12-15

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Windows套接字 一些API函数的使用
    Windows套接字 一些API函数的使用-Windows Sockets API functions of some use
    2022-01-26 00:41:18下载
    积分:1
  • manifold
    流形学习算法库,包括主要的流形学习算法。LLE,ISOMAP,LE等算法(Manifold learning algorithm library, including the main manifold learning algorithm. LLE, ISOMAP, LE, such as algorithm)
    2009-01-14 20:45:02下载
    积分:1
  • i2c 测试demo i2c-adapter
    说明:  i2c 测试demo,适用于i2c调试,可以适用示波器测量波形确认i2c是否通。(I2C test demo, suitable for I2C debugging, can be applied to oscilloscope measurement waveform to confirm whether I2C is passable.)
    2020-06-25 05:20:02下载
    积分:1
  • PI-DCSK
    混沌扩频通信,其中包括混沌信号产生,加高斯噪声,以及调制解调。(Chaotic spread spectrum communication includes chaotic signal generation, Gauss noise, and modulation and demodulation.)
    2019-03-08 17:53:19下载
    积分:1
  • MATLAB命令大全
    说明:  matlab 命令操作说明,命令提示符窗口中的快捷键及其使用说明 命令提示符窗口中的快捷键及其使用说明(matlab order operation)
    2019-07-10 11:08:33下载
    积分:1
  • Origin数字化(Digitize)插件
    数宇化插件为origin网站提供的极为有用的免费插件之一,该插件可将普通曲线图直接在origin中数字化.例如,以通过扫描仪将曲线图扫入计算机, 或在网上获取的电子资料曲线图等。这些以图形格式保存的曲线线,能方便地通过数字化插件在origin软件中数字化。
    2019-04-06下载
    积分:1
  • pjhsan
    破解灰色的按钮,使灰色的铵钮变为正常,对于一些注册才能使用某些功能的软件有点用(Gray button to break, so that the ammonium gray button to normal, for a number of registration in order to use certain features of the software a bit by)
    2009-07-02 12:00:34下载
    积分:1
  • matrix2
    滤波器耦合矩阵的综合,包含了去归一化,得到的矩阵即为实际频率响应(bandpass filter coupling matrix synthesis, real frequency)
    2018-05-12 23:57:45下载
    积分:1
  • 《24小时学通qt编程》
    Qt Creator快速入门的教程资料,通过此书可学会基础的QT编程知识(Qt Creator quick tutorial materials, through this book can learn the basic knowledge of QT programming.)
    2018-11-03 14:53:25下载
    积分:1
  • Dali
    说明:  Twincat dali Programierung
    2019-02-18 15:26:09下载
    积分:1
  • 696516资源总数
  • 106918会员总数
  • 4今日下载