Type Index

A |
| activation_function_enum, FANN
C |
| callback_type, FANN
| connection, FANN
E |
| error_function_enum, FANN
F |
| fann_activationfunc_enum
| fann_callback_type
| fann_connection, struct fann
| fann_errno_enum
| fann_errorfunc_enum
| fann_network_type_enum
| fann_stopfunc_enum
| fann_train_enum
| fann_type
N |
| network_type_enum, FANN
S |
| stop_function_enum, FANN
T |
| training_algorithm_enum, FANN

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.
Describes a connection between two neurons and its weight
Error function used during training.
The activation functions used for the neurons during training.
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
Used to define error events on struct fann and struct fann_train_data.
Error function used during training.
Definition of network types used by fann_get_network_type
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.
fann_type is the type used for the weights, inputs and outputs of the neural network.
Definition of network types used by neural_net::get_network_type
Stop criteria used during training.
The Training algorithms used when training on training_data with functions like neural_net::train_on_data or neural_net::train_on_file.
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