diff --git a/n2s3_examples/src/main/scala/fr/univ_lille/cristal/emeraude/n2s3/apps/MultipleInput.scala b/n2s3_examples/src/main/scala/fr/univ_lille/cristal/emeraude/n2s3/apps/MultipleInput.scala deleted file mode 100644 index 9a2d358822fb99930963aebcaa48f3ead991bcaa..0000000000000000000000000000000000000000 --- a/n2s3_examples/src/main/scala/fr/univ_lille/cristal/emeraude/n2s3/apps/MultipleInput.scala +++ /dev/null @@ -1,63 +0,0 @@ -package fr.univ_lille.cristal.emeraude.n2s3.apps - -/** - * Created by falezp on 07/07/16. - */ - -object MultipleInput extends App { -/* - QBGParameters.alf_m = 0.02f - QBGParameters.alf_p = 0.06f - QBGParameters.beta_m = 3f - QBGParameters.beta_p = 2f - - val n2s3 = new N2S3() - - val cochleaStream = LabelToSpikeTrainConverter() - val inputStream = MnistEntry() >> StreamTee(cochleaStream) - - val retinaReader = - inputStream >> - SampleToSpikeTrainConverter() - .setExpositionDuration(350 MilliSecond) - .setPauseDuration(150 MilliSecond) - .setMinimumFrequency(0) - .setMaximumFrequency(22) - - - - - // val inputLayer = n2s3.createInput(Mnist.distributedInput("data/train2k-images.idx3-ubyte", "data/train2k-labels.idx1-ubyte")) - val retinaLayer = n2s3.createInput(retinaReader) - val cochleaLayer = n2s3.createInput(cochleaStream) - - inputStream.append(new MnistFileInputStream("data/train-images.idx3-ubyte", "data/train-labels.idx1-ubyte")) - - - val unsupervisedLayer = n2s3.createNeuronGroup() - .setIdentifier("Layer1") - .setNumberOfNeurons(30) - .setDefaultNeuronConstructor( () => { - val neuron = new QBGNeuron() - neuron.setProperty(NeuronThreshold, 35 millivolts) - neuron - }) - retinaLayer.connectTo(unsupervisedLayer) - cochleaLayer.connectTo(unsupervisedLayer) - unsupervisedLayer.connectTo(unsupervisedLayer, new FullConnection(() => new QBGInhibitorConnection)) - //n2s3.createSynapseWeightGraphOn(inputLayer, unsupervisedLayer) - - println("Start Training ...") - n2s3.runAndWait() - - inputStream.append(new MnistFileInputStream("data/t10k-images.idx3-ubyte", "data/t10k-labels.idx1-ubyte")) - - println("Start Testing ...") - unsupervisedLayer.fixNeurons() - - val benchmarkMonitor = n2s3.createBenchmarkMonitor(unsupervisedLayer) - - n2s3.runAndWait() - println(benchmarkMonitor.getResult) - benchmarkMonitor.exportToHtmlView("test.html")*/ -}