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A
ActivationFunction
- Enum in
com.googlecode.fannj
addLayers(List<Layer>)
- Method in class com.googlecode.fannj.
Fann
ann
- Variable in class com.googlecode.fannj.
Fann
C
close()
- Method in class com.googlecode.fannj.
Fann
Frees allocated memory.
com.googlecode.fannj
- package com.googlecode.fannj
create(int)
- Static method in class com.googlecode.fannj.
Layer
Create a Layer with the specified number of neurons with the default Activation Function:
Neuron.DEFAULT_ACTIVATION_FUNCTION
with steepness:
Neuron.DEFAULT_ACTIVATION_STEEPNESS
create(int, ActivationFunction)
- Static method in class com.googlecode.fannj.
Layer
Create a Layer with the specified number of neruons and a particular ActivationFunction with the steepness:
Neuron.DEFAULT_ACTIVATION_STEEPNESS
create(int, ActivationFunction, float)
- Static method in class com.googlecode.fannj.
Layer
Create a Layer with the specified number of neruons and a particular ActivationFunction with specified steepness
D
DEFAULT_ACTIVATION_FUNCTION
- Static variable in class com.googlecode.fannj.
Neuron
DEFAULT_ACTIVATION_STEEPNESS
- Static variable in class com.googlecode.fannj.
Neuron
DEFAULT_CONNECTION_RATE
- Static variable in class com.googlecode.fannj.
FannSparse
E
equals(Object)
- Method in class com.googlecode.fannj.
Neuron
F
Fann
- Class in
com.googlecode.fannj
A standard fully connected back-propagation neural network.
Fann()
- Constructor for class com.googlecode.fannj.
Fann
Fann(String)
- Constructor for class com.googlecode.fannj.
Fann
Load an existing FANN definition from a file
Fann(List<Layer>)
- Constructor for class com.googlecode.fannj.
Fann
Create a new ANN with the provided layers.
fann_create_from_file(String)
- Static method in class com.googlecode.fannj.
Fann
fann_create_shortcut_array(int, int[])
- Static method in class com.googlecode.fannj.
Fann
fann_create_sparse_array(float, int, int[])
- Static method in class com.googlecode.fannj.
Fann
fann_create_standard_array(int, int[])
- Static method in class com.googlecode.fannj.
Fann
fann_destroy(Pointer)
- Static method in class com.googlecode.fannj.
Fann
fann_get_MSE(Pointer)
- Static method in class com.googlecode.fannj.
Fann
fann_get_MSE(Pointer)
- Static method in class com.googlecode.fannj.
Trainer
fann_get_neuron(Pointer, int, int)
- Static method in class com.googlecode.fannj.
Fann
fann_get_num_input(Pointer)
- Static method in class com.googlecode.fannj.
Fann
fann_get_num_output(Pointer)
- Static method in class com.googlecode.fannj.
Fann
fann_get_total_neurons(Pointer)
- Static method in class com.googlecode.fannj.
Fann
fann_run(Pointer, float[])
- Static method in class com.googlecode.fannj.
Fann
fann_save(Pointer, String)
- Static method in class com.googlecode.fannj.
Fann
fann_set_activation_function(Pointer, int, int, int)
- Static method in class com.googlecode.fannj.
Fann
fann_set_activation_steepness(Pointer, float, int, int)
- Static method in class com.googlecode.fannj.
Fann
fann_train_on_file(Pointer, String, int, int, float)
- Static method in class com.googlecode.fannj.
Trainer
FannShortcut
- Class in
com.googlecode.fannj
A standard backpropagation neural network, which is not fully connected and which also has shortcut connections.
FannShortcut(List<Layer>)
- Constructor for class com.googlecode.fannj.
FannShortcut
FannSparse
- Class in
com.googlecode.fannj
A standard backpropagation neural network, which is not fully connected.
FannSparse(List<Layer>)
- Constructor for class com.googlecode.fannj.
FannSparse
FannSparse(float, List<Layer>)
- Constructor for class com.googlecode.fannj.
FannSparse
G
getActivationFunction()
- Method in class com.googlecode.fannj.
Neuron
getNumInputNeurons()
- Method in class com.googlecode.fannj.
Fann
getNumOutputNeurons()
- Method in class com.googlecode.fannj.
Fann
getSteepness()
- Method in class com.googlecode.fannj.
Neuron
getTotalNumNeurons()
- Method in class com.googlecode.fannj.
Fann
H
hashCode()
- Method in class com.googlecode.fannj.
Neuron
L
Layer
- Class in
com.googlecode.fannj
A Layer of Neurons in an ANN.
Layer()
- Constructor for class com.googlecode.fannj.
Layer
N
Neuron
- Class in
com.googlecode.fannj
Neuron()
- Constructor for class com.googlecode.fannj.
Neuron
Create a neuron with default activation function: FANN_SIGMOID_STEPWISE and activation steepness = .5
Neuron(ActivationFunction)
- Constructor for class com.googlecode.fannj.
Neuron
Create a neuron with the specified activation function and default activation steepness = .5
Neuron(ActivationFunction, float)
- Constructor for class com.googlecode.fannj.
Neuron
Create a neuron with the specified activation function and steepness.
R
run(float[])
- Method in class com.googlecode.fannj.
Fann
Run the ANN on a set of inputs.
S
save(String)
- Method in class com.googlecode.fannj.
Fann
Save this FANN to a file.
T
train(String, int, int, float)
- Method in class com.googlecode.fannj.
Trainer
Trainer
- Class in
com.googlecode.fannj
Trains an ANN.
Trainer(Fann)
- Constructor for class com.googlecode.fannj.
Trainer
V
valueOf(String)
- Static method in enum com.googlecode.fannj.
ActivationFunction
Returns the enum constant of this type with the specified name.
values()
- Static method in enum com.googlecode.fannj.
ActivationFunction
Returns an array containing the constants of this enum type, in the order they are declared.
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