FANN_SET_ACTIVATION_FUNCTION(3) 1 FANN_SET_ACTIVATION_FUNCTION(3)fann_set_activation_function - Sets the activation function for supplied neuron and layerSYNOPSIS
bool fann_set_activation_function (resource $ann, int $activation_function, int $layer, int $neuron)
DESCRIPTION
Set the activation function for neuron number neuron in layer number layer, counting the input layer as layer 0.
It is not possible to set activation functions for the neurons in the input layer.
When choosing an activation function it is important to note that the activation functions have different range. FANN_SIGMOID is e.g. in
the 0 - 1 range while FANN_SIGMOID_SYMMETRIC is in the -1 - 1 range and FANN_LINEAR is unbound.
The supplied activation_function value must be one of the activation functions constants.
The return value is one of the activation functions constants.
PARAMETERS
o $ann
-Neural network resource.
o $activation_function
- The activation functions constant.
o $layer
- Layer number.
o $neuron
- Neuron number.
RETURN VALUES
Returns TRUE on success, or FALSE otherwise.
SEE ALSO fann_set_activation_function_layer(3), fann_set_activation_function_hidden(3), fann_set_activation_function_output(3), fann_set_activa-
tion_steepness(3), fann_get_activation_function(3).
PHP Documentation Group FANN_SET_ACTIVATION_FUNCTION(3)
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FANN_GET_ACTIVATION_STEEPNESS(3) 1 FANN_GET_ACTIVATION_STEEPNESS(3)fann_get_activation_steepness - Returns the activation steepness for supplied neuron and layer numberSYNOPSIS
float fann_get_activation_steepness (resource $ann, int $layer, int $neuron)
DESCRIPTION
Get the activation steepness for neuron number neuron in layer number layer, counting the input layer as layer 0.
It is not possible to get activation steepness for the neurons in the input layer.
The steepness of an activation function says something about how fast the activation function goes from the minimum to the maximum. A high
value for the activation function will also give a more agressive training.
When training neural networks where the output values should be at the extremes (usually 0 and 1, depending on the activation function), a
steep activation function can be used (e.g. 1.0).
The default activation steepness is 0.5.
PARAMETERS
o $ann
-Neural network resource.
o $layer
- Layer number
o $neuron
- Neuron number
RETURN VALUES
The activation steepness for the neuron or -1 if the neuron is not defined in the neural network, or FALSE on error.
SEE ALSO fann_set_activation_function(3), fann_set_activation_steepness_layer(3), fann_set_activation_steepness_hidden(3), fann_set_activa-
tion_steepness_output(3), fann_set_activation_steepness(3).
PHP Documentation Group FANN_GET_ACTIVATION_STEEPNESS(3)
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