internal Process(MAQLearningEpoch owner, IEnumerable<IQuantumStatedItem> items)
: base(items)
{
Contract.Requires(owner != null);
this.owner = owner;
}
// @"
// 0.0 0.0 0.0 = 0.0 0.0
// 0.0 0.0 1.0 = 0.0 1.0
// 0.0 1.0 0.0 = 0.0 1.0
// 0.0 1.0 1.0 = 1.0 0.0
// 1.0 0.0 0.0 = 0.0 1.0
// 1.0 0.0 1.0 = 1.0 0.0
// 1.0 1.0 0.0 = 1.0 0.0
// 1.0 1.0 1.0 = 1.0 1.0
// ";
public static void Begin()
{
Algorithm algorihtm = Algorithm.MAQ;
NeuralNetworkTest test = null;
IFactory<Synapse> synapseFactory = null;
IFactory<ActivationNeuron> neuronFactory = null;
LearningEpoch epoch = null;
switch (algorihtm)
{
case Algorithm.BP:
test = NeuralNetworkTest.Create(problem, true);
synapseFactory = new Factory<Synapse>();
neuronFactory = new Factory<ActivationNeuron>(() => new ActivationNeuron(new BipolarSigmoidActivationFunction(2)));
break;
default:
test = NeuralNetworkTest.Create(problem);
synapseFactory = new Factory<Synapse>();
neuronFactory = new Factory<ActivationNeuron>(() => new ActivationNeuron(new LinearActivationFunction(1)));
break;
}
//INeuralArchitecture arch = new WiredNeuralArchitecture(test.InputSize, test.OutputSize, 15, neuronFactory, synapseFactory);
INeuralArchitecture arch = new LayeredNeuralArchitecture(
new NeuralMLABuilder(
false,
new ConnectionLayerDefinition<double>(synapseFactory),
test.InputSize,
new OperationNodeLayerDefinition<double>(neuronFactory, 20),
new OperationNodeLayerDefinition<double>(neuronFactory, test.OutputSize)));
var network = arch.CreateNetwork();
switch (algorihtm)
{
case Algorithm.BP:
epoch = new BackPropagationLearningEpoch(new GradientDescentRule(new GDRuleParameters()), network, test);
break;
default:
epoch = new MAQLearningEpoch(network, test);
break;
}
epoch.Initialize();
double errorTreshold = 0.000000;
double currentError = 1.0;
do
{
//if (Console.KeyAvailable)
//{
// Console.ReadKey();
// break;
//}
epoch.Step();
currentError = epoch.CurrentResult.MSE;
if (epoch.CurrentIteration % 1000 == 0 || currentError <= errorTreshold)
{
Console.WriteLine("MSE: {0} Time: {1} Iteration: {2}",
currentError.ToString(),
epoch.ElapsedTime.TotalSeconds.ToString("0.00"),
epoch.CurrentIteration);
}
}
while (currentError > errorTreshold);
}
