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<A HREF="#_A_">A</A> <A HREF="#_C_">C</A> <A HREF="#_D_">D</A> <A HREF="#_E_">E</A> <A HREF="#_F_">F</A> <A HREF="#_G_">G</A> <A HREF="#_H_">H</A> <A HREF="#_L_">L</A> <A HREF="#_N_">N</A> <A HREF="#_R_">R</A> <A HREF="#_S_">S</A> <A HREF="#_T_">T</A> <A HREF="#_V_">V</A> <HR>
<A NAME="_A_"><!-- --></A><H2>
<B>A</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/ActivationFunction.html" title="enum in com.googlecode.fannj"><B>ActivationFunction</B></A> - Enum in <A HREF="./com/googlecode/fannj/package-summary.html">com.googlecode.fannj</A><DD> <DT><A HREF="./com/googlecode/fannj/Fann.html#addLayers(java.util.List)"><B>addLayers(List<Layer>)</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#ann"><B>ann</B></A> -
Variable in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
</DL>
<HR>
<A NAME="_C_"><!-- --></A><H2>
<B>C</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Fann.html#close()"><B>close()</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
Frees allocated memory.
<DT><A HREF="./com/googlecode/fannj/package-summary.html"><B>com.googlecode.fannj</B></A> - package com.googlecode.fannj<DD> <DT><A HREF="./com/googlecode/fannj/Layer.html#create(int)"><B>create(int)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Layer.html" title="class in com.googlecode.fannj">Layer</A>
<DD>Create a Layer with the specified number of neurons with the default
Activation Function: <CODE>Neuron.DEFAULT_ACTIVATION_FUNCTION</CODE> with
steepness: <CODE>Neuron.DEFAULT_ACTIVATION_STEEPNESS</CODE>
<DT><A HREF="./com/googlecode/fannj/Layer.html#create(int, com.googlecode.fannj.ActivationFunction)"><B>create(int, ActivationFunction)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Layer.html" title="class in com.googlecode.fannj">Layer</A>
<DD>Create a Layer with the specified number of neruons and a particular
ActivationFunction with the steepness:
<CODE>Neuron.DEFAULT_ACTIVATION_STEEPNESS</CODE>
<DT><A HREF="./com/googlecode/fannj/Layer.html#create(int, com.googlecode.fannj.ActivationFunction, float)"><B>create(int, ActivationFunction, float)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Layer.html" title="class in com.googlecode.fannj">Layer</A>
<DD>Create a Layer with the specified number of neruons and a particular
ActivationFunction with specified steepness
</DL>
<HR>
<A NAME="_D_"><!-- --></A><H2>
<B>D</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Neuron.html#DEFAULT_ACTIVATION_FUNCTION"><B>DEFAULT_ACTIVATION_FUNCTION</B></A> -
Static variable in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Neuron.html#DEFAULT_ACTIVATION_STEEPNESS"><B>DEFAULT_ACTIVATION_STEEPNESS</B></A> -
Static variable in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/FannSparse.html#DEFAULT_CONNECTION_RATE"><B>DEFAULT_CONNECTION_RATE</B></A> -
Static variable in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/FannSparse.html" title="class in com.googlecode.fannj">FannSparse</A>
<DD>
</DL>
<HR>
<A NAME="_E_"><!-- --></A><H2>
<B>E</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Neuron.html#equals(java.lang.Object)"><B>equals(Object)</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>
</DL>
<HR>
<A NAME="_F_"><!-- --></A><H2>
<B>F</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj"><B>Fann</B></A> - Class in <A HREF="./com/googlecode/fannj/package-summary.html">com.googlecode.fannj</A><DD>
A standard fully connected back-propagation neural network.<DT><A HREF="./com/googlecode/fannj/Fann.html#Fann()"><B>Fann()</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#Fann(java.lang.String)"><B>Fann(String)</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>Load an existing FANN definition from a file
<DT><A HREF="./com/googlecode/fannj/Fann.html#Fann(java.util.List)"><B>Fann(List<Layer>)</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>Create a new ANN with the provided layers.
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_create_from_file(java.lang.String)"><B>fann_create_from_file(String)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_create_shortcut_array(int, int[])"><B>fann_create_shortcut_array(int, int[])</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_create_sparse_array(float, int, int[])"><B>fann_create_sparse_array(float, int, int[])</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_create_standard_array(int, int[])"><B>fann_create_standard_array(int, int[])</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_destroy(com.sun.jna.Pointer)"><B>fann_destroy(Pointer)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_get_MSE(com.sun.jna.Pointer)"><B>fann_get_MSE(Pointer)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Trainer.html#fann_get_MSE(com.sun.jna.Pointer)"><B>fann_get_MSE(Pointer)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Trainer.html" title="class in com.googlecode.fannj">Trainer</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_get_neuron(com.sun.jna.Pointer, int, int)"><B>fann_get_neuron(Pointer, int, int)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_get_num_input(com.sun.jna.Pointer)"><B>fann_get_num_input(Pointer)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_get_num_output(com.sun.jna.Pointer)"><B>fann_get_num_output(Pointer)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_get_total_neurons(com.sun.jna.Pointer)"><B>fann_get_total_neurons(Pointer)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_run(com.sun.jna.Pointer, float[])"><B>fann_run(Pointer, float[])</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_save(com.sun.jna.Pointer, java.lang.String)"><B>fann_save(Pointer, String)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_set_activation_function(com.sun.jna.Pointer, int, int, int)"><B>fann_set_activation_function(Pointer, int, int, int)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#fann_set_activation_steepness(com.sun.jna.Pointer, float, int, int)"><B>fann_set_activation_steepness(Pointer, float, int, int)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Trainer.html#fann_train_on_file(com.sun.jna.Pointer, java.lang.String, int, int, float)"><B>fann_train_on_file(Pointer, String, int, int, float)</B></A> -
Static method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Trainer.html" title="class in com.googlecode.fannj">Trainer</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/FannShortcut.html" title="class in com.googlecode.fannj"><B>FannShortcut</B></A> - Class in <A HREF="./com/googlecode/fannj/package-summary.html">com.googlecode.fannj</A><DD>
A standard backpropagation neural network, which is not fully connected and
which also has shortcut connections.<DT><A HREF="./com/googlecode/fannj/FannShortcut.html#FannShortcut(java.util.List)"><B>FannShortcut(List<Layer>)</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/FannShortcut.html" title="class in com.googlecode.fannj">FannShortcut</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/FannSparse.html" title="class in com.googlecode.fannj"><B>FannSparse</B></A> - Class in <A HREF="./com/googlecode/fannj/package-summary.html">com.googlecode.fannj</A><DD>
A standard backpropagation neural network, which is not fully connected.<DT><A HREF="./com/googlecode/fannj/FannSparse.html#FannSparse(java.util.List)"><B>FannSparse(List<Layer>)</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/FannSparse.html" title="class in com.googlecode.fannj">FannSparse</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/FannSparse.html#FannSparse(float, java.util.List)"><B>FannSparse(float, List<Layer>)</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/FannSparse.html" title="class in com.googlecode.fannj">FannSparse</A>
<DD>
</DL>
<HR>
<A NAME="_G_"><!-- --></A><H2>
<B>G</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Neuron.html#getActivationFunction()"><B>getActivationFunction()</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#getNumInputNeurons()"><B>getNumInputNeurons()</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#getNumOutputNeurons()"><B>getNumOutputNeurons()</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Neuron.html#getSteepness()"><B>getSteepness()</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Fann.html#getTotalNumNeurons()"><B>getTotalNumNeurons()</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>
</DL>
<HR>
<A NAME="_H_"><!-- --></A><H2>
<B>H</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Neuron.html#hashCode()"><B>hashCode()</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>
</DL>
<HR>
<A NAME="_L_"><!-- --></A><H2>
<B>L</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Layer.html" title="class in com.googlecode.fannj"><B>Layer</B></A> - Class in <A HREF="./com/googlecode/fannj/package-summary.html">com.googlecode.fannj</A><DD>A Layer of Neurons in an ANN.<DT><A HREF="./com/googlecode/fannj/Layer.html#Layer()"><B>Layer()</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Layer.html" title="class in com.googlecode.fannj">Layer</A>
<DD>
</DL>
<HR>
<A NAME="_N_"><!-- --></A><H2>
<B>N</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj"><B>Neuron</B></A> - Class in <A HREF="./com/googlecode/fannj/package-summary.html">com.googlecode.fannj</A><DD> <DT><A HREF="./com/googlecode/fannj/Neuron.html#Neuron()"><B>Neuron()</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>Create a neuron with default activation function: FANN_SIGMOID_STEPWISE
and activation steepness = .5
<DT><A HREF="./com/googlecode/fannj/Neuron.html#Neuron(com.googlecode.fannj.ActivationFunction)"><B>Neuron(ActivationFunction)</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>Create a neuron with the specified activation function and default
activation steepness = .5
<DT><A HREF="./com/googlecode/fannj/Neuron.html#Neuron(com.googlecode.fannj.ActivationFunction, float)"><B>Neuron(ActivationFunction, float)</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Neuron.html" title="class in com.googlecode.fannj">Neuron</A>
<DD>Create a neuron with the specified activation function and steepness.
</DL>
<HR>
<A NAME="_R_"><!-- --></A><H2>
<B>R</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Fann.html#run(float[])"><B>run(float[])</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>Run the ANN on a set of inputs.
</DL>
<HR>
<A NAME="_S_"><!-- --></A><H2>
<B>S</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Fann.html#save(java.lang.String)"><B>save(String)</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Fann.html" title="class in com.googlecode.fannj">Fann</A>
<DD>Save this FANN to a file.
</DL>
<HR>
<A NAME="_T_"><!-- --></A><H2>
<B>T</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/Trainer.html#train(java.lang.String, int, int, float)"><B>train(String, int, int, float)</B></A> -
Method in class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Trainer.html" title="class in com.googlecode.fannj">Trainer</A>
<DD>
<DT><A HREF="./com/googlecode/fannj/Trainer.html" title="class in com.googlecode.fannj"><B>Trainer</B></A> - Class in <A HREF="./com/googlecode/fannj/package-summary.html">com.googlecode.fannj</A><DD>Trains an ANN.<DT><A HREF="./com/googlecode/fannj/Trainer.html#Trainer(com.googlecode.fannj.Fann)"><B>Trainer(Fann)</B></A> -
Constructor for class com.googlecode.fannj.<A HREF="./com/googlecode/fannj/Trainer.html" title="class in com.googlecode.fannj">Trainer</A>
<DD>
</DL>
<HR>
<A NAME="_V_"><!-- --></A><H2>
<B>V</B></H2>
<DL>
<DT><A HREF="./com/googlecode/fannj/ActivationFunction.html#valueOf(java.lang.String)"><B>valueOf(String)</B></A> -
Static method in enum com.googlecode.fannj.<A HREF="./com/googlecode/fannj/ActivationFunction.html" title="enum in com.googlecode.fannj">ActivationFunction</A>
<DD>Returns the enum constant of this type with the specified name.
<DT><A HREF="./com/googlecode/fannj/ActivationFunction.html#values()"><B>values()</B></A> -
Static method in enum com.googlecode.fannj.<A HREF="./com/googlecode/fannj/ActivationFunction.html" title="enum in com.googlecode.fannj">ActivationFunction</A>
<DD>Returns an array containing the constants of this enum type, in
the order they are declared.
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