C# (CSharp) IComputingNode示例

示例#1

文件： RandomSynapseReconnect.cs 项目： Puzer/TWEANN

        protected override void Mutation()
        {
            synapse = Network.GetRandomSynapse();
            oldDestination = synapse._input;

            synapse._input = Network.GetRandomNode();
        }

示例#2

文件： RandomSynapseReconnect.cs 项目： TheWizardAndTheWyrd/TWEANN

        protected override void Mutation()
        {
            synapse        = Network.GetRandomSynapse();
            oldDestination = synapse._input;

            synapse._input = Network.GetRandomNode();
        }

示例#3

文件： СonnectNeuronBetween.cs 项目： TheWizardAndTheWyrd/TWEANN

        protected override void Mutation()
        {
            randomSynapse = Network.GetRandomSynapse();



            outputNeuron    = Network.Neurons.Find(n => n.InputSynapses.Contains(randomSynapse));
            inputConnection = randomSynapse._input;

            insertedNeuron = new Neuron(ActivationFunc);

            synapseToOutput = new Synapse(insertedNeuron)
            {
                Weight = NeuralHelper.GetRandomWeigth()
            };
            outputNeuron.InputSynapses.Add(synapseToOutput);

            synapseToInput = new Synapse(inputConnection)
            {
                Weight = NeuralHelper.GetRandomWeigth()
            };
            insertedNeuron.InputSynapses.Add(synapseToInput);

            outputNeuron.InputSynapses.Remove(randomSynapse);
            Network.Synapses.Remove(randomSynapse);


            Network.Neurons.Add(insertedNeuron);
            Network.Synapses.Add(synapseToOutput);
            Network.Synapses.Add(synapseToInput);
        }

示例#4

文件： СonnectNeuronBetween.cs 项目： Puzer/TWEANN

        protected override void Mutation()
        {
            randomSynapse = Network.GetRandomSynapse();

            outputNeuron = Network.Neurons.Find(n => n.InputSynapses.Contains(randomSynapse));
            inputConnection = randomSynapse._input;

            insertedNeuron = new Neuron(ActivationFunc);

            synapseToOutput = new Synapse(insertedNeuron) { Weight = NeuralHelper.GetRandomWeigth() };
            outputNeuron.InputSynapses.Add(synapseToOutput);

            synapseToInput = new Synapse(inputConnection) { Weight = NeuralHelper.GetRandomWeigth() };
            insertedNeuron.InputSynapses.Add(synapseToInput);

            outputNeuron.InputSynapses.Remove(randomSynapse);
            Network.Synapses.Remove(randomSynapse);

            Network.Neurons.Add(insertedNeuron);
            Network.Synapses.Add(synapseToOutput);
            Network.Synapses.Add(synapseToInput);
        }

示例#5

 internal Effector(IComputingNode input)
 {
     _input = input;
 }

示例#6

文件： Effector.cs 项目： Puzer/TWEANN

 internal Effector(IComputingNode input)
 {
     _input = input;
 }

示例#7

文件： Synapse.cs 项目： Puzer/TWEANN

 internal Synapse(IComputingNode input)
 {
     _input = input;
 }

示例#8

文件： Synapse.cs 项目： TheWizardAndTheWyrd/TWEANN

 internal Synapse(IComputingNode input)
 {
     _input = input;
 }