/// <summary>
/// Initializes a new instance of the ProximalSynapse class and
/// sets its input source and initial permanance values.
/// </summary>
/// <param name="inputSource">A DataSource (external data source, or another Region) providing source of the input to this synapse.</param>
/// <param name="inputPoint">Coordinates and value index of this synapse's input within the inputSource.</param>
/// <param name="permanence">Initial permanence value.</param>
/// <param name="distanceToInput">In the Region's hypercolumn coordinates; used by Region.AverageReceptiveFieldSize().</param>
public void Initialize(SynapseParams synapseParams, DataSpace inputSource, ref DataPoint inputPoint, float permanence, float distanceToInput)
{
base.Initialize(synapseParams);
this.InputSource = inputSource;
this.InputPoint = inputPoint;
this.DistanceToInput = distanceToInput;
this.Permanence = permanence;
}
/// <summary>
/// This version of Initialize() is used when loading data.
/// </summary>
public new void Initialize(SynapseParams synapseParams)
{
base.Initialize(synapseParams);
this.InputSource = null;
this.InputPoint = new DataPoint();
this.DistanceToInput = 0.0f;
this.Permanence = 0.0f;
}
/// <summary>
/// Initialize the network starting from top region.
/// </summary>
public void Initialize()
{
// Set project parameters
Global.AllowSpatialLearning = true;
Global.AllowTemporalLearning = true;
Global.AllowBoosting = false;
// Create the new input.
this.Sensor = new Sensor("Input1", WordEncoder.MaxHashSize, 10, 1, null, null);
this.Sensor.Index = 1;
// Set Proximal Synapse parameter
var proximalSynapseParams = new SynapseParams();
proximalSynapseParams.InitialPermanence = 0.30f;
proximalSynapseParams.ConnectedPerm = 0.24f;
proximalSynapseParams.PermanenceInc = 0.0060f;
proximalSynapseParams.PermanenceDec = 0.0045f;
// Set Distal Synapse parameter
var distalSynapseParams = new SynapseParams();
distalSynapseParams.InitialPermanence = proximalSynapseParams.InitialPermanence;
distalSynapseParams.ConnectedPerm = proximalSynapseParams.ConnectedPerm;
distalSynapseParams.PermanenceInc = proximalSynapseParams.PermanenceInc;
distalSynapseParams.PermanenceDec = proximalSynapseParams.PermanenceDec;
// Set Region parameters
string regionId = "Region1";
int regionSizeX = 12;
int regionSizeY = 12;
bool hardcodedSpatial = false;
float percentageInputPerCol = 100;
float percentageMinOverlap = 0;
float percentageLocalActivity = 1;
float maxBoost = -1;
float boostRate = 0.05f;
int spatialLearningStartTime = -1;
int spatialLearningEndTime = -1;
int temporalLearningStartTime = -1;
int temporalLearningEndTime = -1;
int boostingStartTime = -1;
int boostingEndTime = -1;
int min_MinOverlapToReuseSegment = 2;
int max_MinOverlapToReuseSegment = 2;
int predictionRadius = -1;
int cellsPerColumn = 120;
int hypercolumnDiameter = 1;
int segmentActivateThreshold = 1;
int newNumberSynapses = 1;
bool outputColumnActivity = false;
bool outputCellActivity = true;
var inhibitionType = InhibitionType.Automatic;
int inhibitionRadius = -1;
// Create the new Region.
this.Region = new Region(regionId, new Point(regionSizeX, regionSizeY), hypercolumnDiameter, proximalSynapseParams, distalSynapseParams, percentageInputPerCol / 100.0f, percentageMinOverlap / 100.0f, predictionRadius, inhibitionType, inhibitionRadius, percentageLocalActivity / 100.0f, boostRate, maxBoost, spatialLearningStartTime, spatialLearningEndTime, temporalLearningStartTime, temporalLearningEndTime, boostingStartTime, boostingEndTime, cellsPerColumn, segmentActivateThreshold, newNumberSynapses, min_MinOverlapToReuseSegment, max_MinOverlapToReuseSegment, hardcodedSpatial, outputColumnActivity, outputCellActivity);
this.Region.Index = 1;
this.Region.AddInput(this.Sensor, 15);
this.Region.Initialize();
}
