文件名称:GNN_1_1b
介绍说明－－下载内容均来自于网络，请自行研究使用
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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
GNN_1_1b
........\GNN 1.1b
........\........\Configure.m
........\........\GNN.config
........\........\GNN_DOC.pdf
........\........\MLP
........\........\...\initializeMLP.m
........\........\...\testMLP.m
........\........\...\trainMLP.m
........\........\Untitled.m
........\........\comparisonNet
........\........\.............\initializeComparisonNet.m
........\........\.............\learnComparisonNet.m
........\........\.............\plotComparisonNetTrainingResults.m
........\........\.............\testComparisonNet.m
........\........\datasets
........\........\........\CliqueDataset.config
........\........\........\HalfHotDataset.config
........\........\........\NeighborsDataset.config
........\........\........\ParityDataset.config
........\........\........\SecondOrderNeighborsDataset.config
........\........\........\SubGraphMatchingDataset.config
........\........\........\TreeDepthDataset.config
........\........\........\TreeDepthDataset.config.backup
........\........\........\WebPagesScoringDataset.config
........\........\........\makeCliqueDataset.m
........\........\........\makeCliqueDataset_fix_rand.m
........\........\........\makeGeneralDataset.m
........\........\........\makeHalfHotDataset.m
........\........\........\makeMutagenicDataset.m
........\........\........\makeNeighborsDataset.m
........\........\........\makeOddEvenDataset.m
........\........\........\makeParityDataset.m
........\........\........\makeSecondOrderNeighborsDataset.m
........\........\........\makeSubGraphDataset.m
........\........\........\makeTmpDataset.m
........\........\........\makeTreeDepthDataset.m
........\........\........\makeWebPagesScoringDataset.m
........\........\........\muta-f.pl
........\........\........\muta-u.pl
........\........\........\muta.pl
........\........\........\muta.pl_new
........\........\experiments
........\........\...........\init_class.m
........\........\...........\save_learning.m
........\........\...........\start_learning.m
........\........\...........\test_learning.m
........\........\initialization
........\........\..............\initializeNet.m
........\........\isomorphism
........\........\...........\areIsomorph.m
........\........\...........\isomorphism.mat
........\........\...........\mygetPR.m
........\........\...........\mytest.m
........\........\learn.m
........\........\neuralNetworks
........\........\..............\backwardOneLayerLinearOutNet.m
........\........\..............\backwardOneLayerNet.m
........\........\..............\backwardTwoLayerLinearOutNet.m
........\........\..............\backwardTwoLayerNet.m
........\........\..............\forwardJacobianOneLayerLinearOutNet.m
........\........\..............\forwardJacobianOneLayerNet.m
........\........\..............\forwardOneLayerLinearOutNet.m
........\........\..............\forwardOneLayerNet.m
........\........\..............\forwardTwoLayerLinearOutNet.m
........\........\..............\forwardTwoLayerNet.m
........\........\..............\getDeltaJacobianOneLayerLinearOutNet.m
........\........\..............\getDeltaJacobianOneLayerNet.m
........\........\..............\getDeltaJacobianTwoLayerLinearOutNet.m
........\........\..............\getDeltaJacobianTwoLayerNet.m
........\........\..............\getJacobianOneLayerLinearOutNet.m
........\........\..............\getJacobianTwoLayerLinearOutNet.m
........\........\private
........\........\.......\displayTestRes.m
........\........\.......\evaluateAccuracyOnGraphs.m
........\........\.......\learn_.m
........\........\.......\test4autoassociator.m
........\........\.......\test4autoassociator_old.m
........\........\.......\test4autoassociator_veryold.m
........\........\.......\test4classification.m
........\........\.......\test4regression.m
........\........\.......\test4uniform.m
........\........\save_experiment.m
........\........\startSession.m
........\........\systemModels
........\........\............\autoassociatorComputeDeltaError.m
........\........\............\autoassociatorComputeError.m
........\........