Exemple #1
0
    /// <summary>
    /// Initialise new lifeform
    /// </summary>
    /// <param name="_genotype">The genotype to use</param>
    /// <param name="layerSizes">The layerSizes of the neural network</param>
    public LifeForm(Genotype _genotype, params uint[] layerSizes)
    {
        isAlive  = false;
        GenoType = _genotype;
        NN       = new NeuralNetwork(layerSizes);

        //Check for matching number of genes to weights
        if (NN.WeightCount != _genotype.GeneCount)
        {
            throw new ArgumentException("Lifeform(): Genotype gene count does not match the number of weights in neural network");
        }

        IEnumerator <float> chromosome = _genotype.GetEnumerator();

        //Assign chromosome to weights in neural network
        foreach (NeuralLayer layer in NN.Layers)
        {
            for (int x = 0; x < layer.Weights.GetLength(0); x++)     //Neurons of current layer
            {
                for (int y = 0; y < layer.Weights.GetLength(1); y++) //Neurons of next layer
                {
                    layer.Weights[x, y] = chromosome.Current;
                    chromosome.MoveNext();
                }
            }
        }
    }
Exemple #2
0
    /// <summary>
    /// Initialises a new agent from given genotype, constructing a new feedfoward neural network from
    /// the parameters of the genotype.
    /// </summary>
    /// <param name="genotype">The genotpye to initialise this agent from.</param>
    /// <param name="topology">The topology of the feedforward neural network to be constructed from given genotype.</param>
    public Agent(Genotype genotype, NeuralLayer.ActivationFunction defaultActivation, params uint[] topology)
    {
        IsAlive       = false;
        this.Genotype = genotype;
        FNN           = new NeuralNetwork(topology);
        foreach (NeuralLayer layer in FNN.Layers)
        {
            layer.NeuronActivationFunction = defaultActivation;
        }

        //Check if topology is valid
        if (FNN.WeightCount != genotype.ParameterCount)
        {
            throw new ArgumentException("The given genotype's parameter count must match the neural network topology's weight count.");
        }

        //Construct FNN from genotype
        IEnumerator <float> parameters = genotype.GetEnumerator();

        foreach (NeuralLayer layer in FNN.Layers)                    //Loop over all layers
        {
            for (int i = 0; i < layer.Weights.GetLength(0); i++)     //Loop over all nodes of current layer
            {
                for (int j = 0; j < layer.Weights.GetLength(1); j++) //Loop over all nodes of next layer
                {
                    layer.Weights[i, j] = parameters.Current;
                    parameters.MoveNext();
                }
            }
        }
    }