L | |
LayerArray, FANNCSharp. | |
LayerCount | |
Layers | |
LearningMomentum | |
LearningRate | |
M | |
MaxInput | |
MaxOutput | |
MinInput | |
MinOutput | |
MSE | |
Multiplier, FANNCSharp. | |
N | |
NetworkType | |
O | |
Output | |
OutputAccessor | |
OutputCount | |
Q | |
QuickpropDecay | |
QuickpropMu | |
R | |
RpropDecreaseFactor | |
RpropDeltaMax | |
RpropDeltaMin | |
RpropDeltaZero | |
RpropIncreaseFactor | |
S | |
SarpropStepErrorShift | |
SarpropStepErrorThresholdFactor | |
SarpropTemperature | |
SarpropWeightDecayShift |
Get the number of neurons in each layer in the network.
public uint[] LayerArray { get }
Get the number of layers in the network
public uint LayerCount { get }
Get the number of layers in the network
public uint LayerCount { get }
Get the number of layers in the network
public uint LayerCount { get }
Get the number of neurons in each layer in the network.
public uint[] Layers { get }
Get the number of neurons in each layer in the network.
public uint[] Layers { get }
Get or set the learning momentum.
public float LearningMomentum { get, set }
Get or set the learning momentum.
public float LearningMomentum { get, set }
Get or set the learning momentum.
public float LearningMomentum { get, set }
Return or set the learning rate.
public float LearningRate { get, set }
Return or set the learning rate.
public float LearningRate { get, set }
Return or set the learning rate.
public float LearningRate { get, set }
Get the maximum value of all in the input data
public double MaxInput { get }
Get the maximum value of all in the input data
public float MaxInput { get }
Get the maximum value of all in the output data
public double MaxOutput { get }
Get the maximum value of all in the output data
public float MaxOutput { get }
Get the minimum value of all in the input data
public double MinInput { get }
Get the minimum value of all in the input data
public float MinInput { get }
Get the minimum value of all in the output data
public double MinOutput { get }
Get the minimum value of all in the output data
public float MinOutput { get }
Reads the mean square error from the network.
public float MSE { get }
Reads the mean square error from the network.
public float MSE { get }
Reads the mean square error from the network.
public float MSE { get }
Returns the multiplier that fix point data is multiplied with.
public uint Multiplier { get }
Get the type of neural network it was created as.
public NetworkType NetworkType { get }
Get the type of neural network it was created as.
public NetworkType NetworkType { get }
Get the type of neural network it was created as.
public NetworkType NetworkType { get }
Grant access to the encapsulated data since many situations and applications creates the data from sources other than files or uses the training data for testing and related functions.
public double[][] Output { get }
Grant access to the encapsulated data since many situations and applications creates the data from sources other than files or uses the training data for testing and related functions.
public int[][] Output { get }
Grant access to the encapsulated data since many situations and applications creates the data from sources other than files or uses the training data for testing and related functions.
public float[][] Output { get }
An alternative to Output that returns an accessor object that grants access to to the input data with no copying.
public ArrayAccessor OutputAccessor { get }
An alternative to Output that returns an accessor object that grants access to to the input data with no copying.
public ArrayAccessor OutputAccessor { get }
An alternative to Output that returns an accessor object that grants access to to the input data with no copying.
public ArrayAccessor OutputAccessor { get }
Get the number of output neurons.
public uint OutputCount { get }
Returns the number of outputs in each of the training patterns in the TrainingData.
public uint OutputCount { get }
Get the number of output neurons.
public uint OutputCount { get }
Returns the number of outputs in each of the training patterns in the TrainingData.
public uint OutputCount { get }
Get the number of output neurons.
public uint OutputCount { get }
Returns the number of outputs in each of the training patterns in the TrainingData.
public uint OutputCount { get }
Gets or sets the quickprop decay factor.
public float QuickpropDecay { get, set }
Gets or sets the quickprop decay factor.
public float QuickpropDecay { get, set }
Gets or sets the quickprop decay factor.
public float QuickpropDecay { get, set }
Get or sets the quickprop mu factor.
public float QuickpropMu { get, set }
Get or sets the quickprop mu factor.
public float QuickpropMu { get, set }
Get or sets the quickprop mu factor.
public float QuickpropMu { get, set }
Gets or sets the rprop decrease factor.
public float RpropDecreaseFactor { get, set }
Gets or sets the rprop decrease factor.
public float RpropDecreaseFactor { get, set }
Gets or sets the rprop decrease factor.
public float RpropDecreaseFactor { get, set }
Gets or set the rprop delta max.
public float RpropDeltaMax { get, set }
Gets or set the rprop delta max.
public float RpropDeltaMax { get, set }
Gets or set the rprop delta max.
public float RpropDeltaMax { get, set }
Gets or sets the rprop delta min.
public float RpropDeltaMin { get, set }
Gets or sets the rprop delta min.
public float RpropDeltaMin { get, set }
Gets or sets the rprop delta min.
public float RpropDeltaMin { get, set }
Gets or sets the rprop delta zero.
public float RpropDeltaZero { get, set }
Gets or sets the rprop delta zero.
public float RpropDeltaZero { get, set }
Gets or sets the rprop delta zero.
public float RpropDeltaZero { get, set }
Gets or sets the increase factor used during RPROP training.
public float RpropIncreaseFactor { get, set }
Gets or sets the increase factor used during RPROP training.
public float RpropIncreaseFactor { get, set }
Gets or sets the increase factor used during RPROP training.
public float RpropIncreaseFactor { get, set }
Gets or sets the sarprop step error shift.
public float SarpropStepErrorShift { get, set }
Gets or sets the sarprop step error shift.
public float SarpropStepErrorShift { get, set }
Gets or sets the sarprop step error shift.
public float SarpropStepErrorShift { get, set }
Gets or sets the sarprop step error threshold factor.
public float SarpropStepErrorThresholdFactor { get, set }
Gets or sets the sarprop step error threshold factor.
public float SarpropStepErrorThresholdFactor { get, set }
Gets or sets the sarprop step error threshold factor.
public float SarpropStepErrorThresholdFactor { get, set }
Gets or set the sarprop weight decay shift.
public float SarpropTemperature { get, set }
Gets or set the sarprop weight decay shift.
public float SarpropTemperature { get, set }
Gets or set the sarprop weight decay shift.
public float SarpropTemperature { get, set }
Gets or sets the sarprop weight decay shift.
public float SarpropWeightDecayShift { get, set }
Gets or sets the sarprop weight decay shift.
public float SarpropWeightDecayShift { get, set }
Gets or sets the sarprop weight decay shift.
public float SarpropWeightDecayShift { get, set }