public void CalculateProbabilities()
{
const string networkPath = @"Analysis/network.json";
var model = new Model();
Func <bool> hazard = () => (model.Barrier.Angle != 0)
&&
(model.Train.Position <= Model.CrossingPosition &&
model.Train.Position + model.Train.Speed > Model.CrossingPosition);
var faults = new[]
{
model.CrossingController.Motor.BarrierMotorStuck,
model.CrossingController.Sensor.BarrierSensorFailure,
model.TrainController.Brakes.BrakesFailure,
model.TrainController.Odometer.OdometerPositionOffset,
model.TrainController.Odometer.OdometerSpeedOffset
};
var bayesianCreator = new BayesianNetworkCreator(model, 230);
var network = bayesianCreator.FromJson(networkPath, hazard, null, faults);
var calculator = new BayesianNetworkProbabilityDistributionCalculator(network, 0.000000000001);
var result = calculator.CalculateConditionalProbabilityDistribution(new[] { "H" }, new[] { "OdometerSpeedOffset" });
Console.Out.WriteLine(string.Join("\n", result));
}
public void CalculateBayesianNetworkProbabilities()
{
const string filePath = "network.json";
var model = new SimpleBayesianExampleModel();
Func <bool> hazard = () => model.Component.Hazard;
var bayesianNetworkCreator = new BayesianNetworkCreator(model, 10);
var network = bayesianNetworkCreator.FromJson(filePath, hazard);
var calculator = new BayesianNetworkProbabilityDistributionCalculator(network, 0.0000000001);
var result = calculator.CalculateConditionalProbabilityDistribution(new[] { "FS" }, new[] { "FV", "FL" });
Console.Out.WriteLine(string.Join("\n", result));
}
