public ResultNeuralLayer(ResultNeuron neuron)
: base(new List <Neuron> {
neuron
}, new NeuralLayerOptions {
IsFixed = true
})
{
_result = neuron;
}
public NeuralNetwork Initialize(IReadOnlyCollection <FuzzyStatement> statements)
{
var resultNeuron = new ResultNeuron();
var conclusionNeurons = new List <Neuron>();
var activationNeurons = new List <Neuron>();
var statementNeurons = new List <Neuron>();
var ruleDictionary = new Dictionary <FuzzyRule, Neuron>();
var ruleNeurons = new List <KeyValuePair <FuzzyRule, Neuron> >();
// Строим 5, 4, 3 уровни нейросети
foreach (var statement in statements)
{
var conclusionNeuron = new Neuron();
conclusionNeurons.Add(conclusionNeuron);
resultNeuron.Dendrites.Add(new Dendrite(conclusionNeuron, 0.001d));
var activationNeuron = new Neuron();
activationNeurons.Add(activationNeuron);
conclusionNeuron.Dendrites.Add(new Dendrite(activationNeuron, 0.005d));
}
_layers.AddFirst(new ResultNeuralLayer(resultNeuron));
_layers.AddFirst(new ConclusionNeuralLayer(conclusionNeurons));
_layers.AddFirst(new ActivationNeuralLayer(activationNeurons));
// Строим 2, 1 уровни нейросети
var activationLayer = _layers.First.Value;
foreach (var statement in statements)
{
var statementNeuron = new Neuron();
statementNeurons.Add(statementNeuron);
resultNeuron.PassthroughDendrites.Add(new Dendrite(statementNeuron, 0.0005d));
foreach (var neuron in activationLayer.Neurons)
{
neuron.Dendrites.Add(new Dendrite(statementNeuron, 0.00001d));
}
foreach (var rule in statement.Rules)
{
if (!ruleDictionary.ContainsKey(rule))
{
var neuron = new Neuron();
ruleDictionary.Add(rule, neuron);
ruleNeurons.Add(new KeyValuePair <FuzzyRule, Neuron>(rule, neuron));
}
statementNeuron.Dendrites.Add(new Dendrite(ruleDictionary[rule], 1d));
}
}
_layers.AddFirst(new StatementNeuralLayer(statementNeurons));
_layers.AddFirst(new RuleNeuralLayer(ruleNeurons));
return(this);
}