Type Index
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A
 activation_function_enum, FANN
fann_activationfunc_enum
C
 callback_type, FANN
fann_callback_type
 connection, FANN
fann_connection, struct fann
E
fann_errno_enum
 error_function_enum, FANN
fann_errorfunc_enum
N
 network_type_enum, FANN
fann_network_type_enum
S
 stop_function_enum, FANN
fann_stopfunc_enum
T
fann_train_enum
 training_algorithm_enum, FANN
fann_type
The activation functions used for the neurons during training.
The activation functions used for the neurons during training.
This callback function can be called during training when using neural_net::train_on_data, neural_net::train_on_file or neural_net::cascadetrain_on_data.
This callback function can be called during training when using fann_train_on_data, fann_train_on_file or fann_cascadetrain_on_data.
Describes a connection between two neurons and its weight
Describes a connection between two neurons and its weight
Used to define error events on struct fann and struct fann_train_data.
Error function used during training.
Error function used during training.
Definition of network types used by neural_net::get_network_type
Definition of network types used by fann_get_network_type
Stop criteria used during training.
Stop criteria used during training.
The Training algorithms used when training on struct fann_train_data with functions like fann_train_on_data or fann_train_on_file.
The Training algorithms used when training on training_data with functions like neural_net::train_on_data or neural_net::train_on_file.
fann_type is the type used for the weights, inputs and outputs of the neural network.