private IMultipleNeuron BuildSupervised()
{
ISupervisedMultipleOperations opr = null;
IActivationFunction act = null;
IOptimizerMultipleLayerFunction opt = null;
switch (activation)
{
case ActivationFunctionEnum.ArcTANH:
act = new ArcTANHFunction();
break;
case ActivationFunctionEnum.TANH:
act = new TANHFunction();
break;
case ActivationFunctionEnum.Binary:
act = new BinaryStepFunction();
break;
case ActivationFunctionEnum.LeakRelu:
act = new LeakReluFunction();
break;
case ActivationFunctionEnum.Relu:
act = new ReluFunction();
break;
case ActivationFunctionEnum.Sigmoid:
act = new SigmoidFunction();
break;
case ActivationFunctionEnum.Sinusoid:
act = new SinusoidFunction();
break;
case ActivationFunctionEnum.Nothing:
act = null;
break;
default:
throw new InvalidOperationException();
}
switch (optmizator)
{
case EnumOptimizerFunction.Adagrad:
opt = new AdagradOptimizerFunction_M();
break;
case EnumOptimizerFunction.Adadelta:
opt = new AdadeltaOptimizerFunction_M();
break;
case EnumOptimizerFunction.Adam:
opt = new AdamOptimizerFunction_M();
break;
case EnumOptimizerFunction.Nadam:
opt = new NadamOptimizerFunction_M();
break;
case EnumOptimizerFunction.RmsProp:
opt = new RMSOptimizerFunction_M();
break;
case EnumOptimizerFunction.SGD:
opt = new SGDOptimizerFunction_M();
break;
case EnumOptimizerFunction.Momentum:
opt = new MomentumOptmizerFunction_M();
break;
default:
throw new InvalidOperationException();
}
switch (operation)
{
case ANNOperationsEnum.Activator:
opr = new ANNMultipleActivatorOperations();
break;
case ANNOperationsEnum.SoftMax:
throw new InvalidOperationException();
break;
default:
throw new InvalidOperationException();
}
opr.SetActivation(act);
opr.SetOptimizer(opt);
var neuron = new SupervisedMultipleNeuron(size, connections, lr, mo, opr);
neuron.FullSynapsis(std);
return(neuron);
}
public virtual void SetOptimizer(IOptimizerMultipleLayerFunction opt)
{
_optimizerFunction = opt;
}
