Esempio n. 1
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        public Color Do(Color color)
        {
            var input = new NeuralInputs {
                Alpha = color.A,
                Red   = color.R,
                Green = color.G,
                Blue  = color.B
            };
            var output = new NeuralOutput();

            _neuralNetwork.ForEach(n =>
            {
                output = n.Compute(input);
                n.Feedback(_randomness, _colorVariation);
                input.Alpha = output.Alpha;
                input.Red   = output.Red;
                input.Green = output.Green;
                input.Blue  = output.Blue;
            });

            return(output.ToColor());
        }
Esempio n. 2
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        public Color Do(Color color)
        {
            var input = new NeuralInputs {
                Alpha = color.A,
                Red = color.R,
                Green = color.G,
                Blue = color.B
            };
            var output = new NeuralOutput();

            _neuralNetwork.ForEach(n =>
            {
                output = n.Compute(input);
                n.Feedback(_randomness, _colorVariation);
                input.Alpha = output.Alpha;
                input.Red = output.Red;
                input.Green = output.Green;
                input.Blue = output.Blue;
            });

            return output.ToColor();
        }
Esempio n. 3
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 public NeuralOutput Compute(NeuralInputs input)
 {
     return(new NeuralOutput());
 }
Esempio n. 4
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 public NeuralOutput Compute(NeuralInputs input)
 {
     return new NeuralOutput();
 }