DNN
代码说明:
说明: 深度神经网络DNN,可用于多目标的最优规划问题。(The deep neural network DNN can be used for multi-objective optimal planning problems.)
文件列表:
DeepNeuralNetwork20160805, 0 , 2020-07-03
DeepNeuralNetwork20160805\DeepNeuralNetwork, 0 , 2020-07-03
DeepNeuralNetwork20160805\DeepNeuralNetwork\CalcErrorRate.m, 1030 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\CalcRmse.m, 1138 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\DeepNeuralNetwork20160805.mltbx, 4813902 , 2018-04-20
DeepNeuralNetwork20160805\DeepNeuralNetwork\GetDroppedDBN.m, 1935 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\GetOnInd.m, 1357 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\ObjectFunc.m, 673 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\SetLinearMapping.m, 1690 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\h2v.m, 1794 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\linearMapping.m, 1128 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist, 0 , 2020-07-03
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\evaMNIST.m, 1124 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\mnistbbdbn.mat, 4770186 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\mnistread.m, 1884 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\readme.txt, 240 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\t10k-images-idx3-ubyte, 1648877 , 2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\t10k-labels-idx1-ubyte, 4542 , 2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\testMNIST.m, 22 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\train-images-idx3-ubyte, 9912422 , 2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\train-labels-idx1-ubyte, 28881 , 2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\trainMNIST.m, 1502 , 2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\pretrainDBN.m, 2876 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\pretrainRBM.m, 6644 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\randDBN.m, 1611 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\randRBM.m, 1355 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\sigmoid.m, 618 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\testDNN.m, 542 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\trainDBN.m, 12217 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\v2h.m, 1795 , 2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\v2hall.m, 1262 , 2016-08-04
DeepNeuralNetwork20160805\license.txt, 1315 , 2016-08-04
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