Property Index
$#! · 0-9 · A · B · C · D · E · F · G · H · I · J · K · L · M · N · O · P · Q · R · S · T · U · V · W · X · Y · Z
L
 LayerArray, FANNCSharp.Float.NeuralNet
 LayerCount
 Layers
 LearningMomentum
 LearningRate
M
 MaxInput
 MaxOutput
 MinInput
 MinOutput
 MSE
 Multiplier, FANNCSharp.Fixed.NeuralNet
N
 NetworkType
O
 Output
 OutputAccessor
 OutputCount
Q
 QuickpropDecay
 QuickpropMu
R
 RpropDecreaseFactor
 RpropDeltaMax
 RpropDeltaMin
 RpropDeltaZero
 RpropIncreaseFactor
S
 SarpropStepErrorShift
 SarpropStepErrorThresholdFactor
 SarpropTemperature
 SarpropWeightDecayShift
public uint[] LayerArray { get }
Get the number of neurons in each layer 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 layers in the network
public uint[] Layers { 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 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 }
Get or set the learning momentum.
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 }
Return or set the learning rate.
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 input data
public double MaxOutput { get }
Get the maximum value of all in the output data
public float MaxOutput { get }
Get the maximum value of all in the output 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 input data
public double MinOutput { get }
Get the minimum value of all in the output data
public float MinOutput { get }
Get the minimum value of all in the output data
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 }
Reads the mean square error from the network.
public uint Multiplier { get }
Returns the multiplier that fix point data is multiplied with.
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 }
Get the type of neural network it was created as.
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 }
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 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 }
An alternative to Output that returns an accessor object that grants access to to the input data with no copying.
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 }
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 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 }
Gets or sets the quickprop decay 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 }
Get or sets the quickprop mu 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 sets the rprop decrease factor.
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 set the rprop delta max.
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 min.
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 rprop delta zero.
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 increase factor used during RPROP training.
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 shift.
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 sets the sarprop step error threshold factor.
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 set 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 }
Gets or sets the sarprop weight decay shift.
Close