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

Definition of function determining decay of learning rate, if the network is a Self-Organizing Map.

Definition of neighborhood function, determining which nodes are affected by learning updates, if the network is a Self-Organizing Map.

Definition of topology type if the network is a Self-Organizing Map

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.