Esempio n. 1
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        private void CreateInpLayer()
        {
            var inputNeurons = new List <OneNeuron>();

            for (var i = 0; i < Topology.InputCount; i++)
            {
                var neuron = new OneNeuron(1, NeuronType.Input);
                inputNeurons.Add(neuron);
            }
            var inpLayer = new NLayer(inputNeurons, NeuronType.Input);

            Layers.Add(inpLayer);
        }
Esempio n. 2
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        private void CreateOutLayer()
        {
            var outputNeurons = new List <OneNeuron>();
            var lastLayer     = Layers.Last();

            for (var i = 0; i < Topology.OutputCount; i++)
            {
                var neuron = new OneNeuron(lastLayer.Count, NeuronType.Output);
                outputNeurons.Add(neuron);
            }
            var outpLayer = new NLayer(outputNeurons, NeuronType.Output);

            Layers.Add(outpLayer);
        }
Esempio n. 3
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 private void CreateHidLayers()
 {
     for (var j = 0; j < Topology.HiddenLayers.Count; j++)
     {
         var hiddenNeurons = new List <OneNeuron>();
         var lastLayer     = Layers.Last();
         for (var i = 0; i < Topology.HiddenLayers[j]; i++)
         {
             var neuron = new OneNeuron(lastLayer.Count);
             hiddenNeurons.Add(neuron);
         }
         var hiddenLayer = new NLayer(hiddenNeurons);
         Layers.Add(hiddenLayer);
     }
 }