Esempio n. 1
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        public Genome(int size)
        {
            Random rnd = new Random();

            weights = new float[size];
            skills  = new int[skillCount];
            for (int i = 0; i < size; i++)
            {
                weights[i] = NN.NextDoubleRange(rnd, -1f, 1f);
            }
        }
Esempio n. 2
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        public void Mutate(float value)
        {
            Random rnd = new Random();

            for (int i = 0; i < weights.Length; i++)
            {
                if (NN.NextDoubleRange(rnd, 0, 1f) < 0.1)
                {
                    weights[i] += NN.NextDoubleRange(rnd, -value, value);
                }
            }
            for (int i = 0; i < skillCount; i++)
            {
                if (NN.NextDoubleRange(rnd, 0, 1f) < 0.05)
                {
                    skills[i] = rnd.Next(0, 4);
                }
            }
        }
Esempio n. 3
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        public NN(params int[] sizes)
        {
            Random rnd = new Random();

            layers = new Layer[sizes.Length];
            for (int i = 0; i < sizes.Length; i++)
            {
                int nextSize = 0;
                if (i < sizes.Length - 1)
                {
                    nextSize = sizes[i + 1];
                }
                layers[i] = new Layer(sizes[i], nextSize);
                for (int j = 0; j < sizes[i]; j++)
                {
                    for (int k = 0; k < nextSize; k++)
                    {
                        layers[i].weights[j, k] = NN.NextDoubleRange(rnd, -1f, 1f);
                    }
                }
            }
        }