neurali:libfann2
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+ | ====== Libfann2 ====== | ||
+ | {{: | ||
+ | |||
+ | {{: | ||
+ | |||
+ | ===== Data types ===== | ||
+ | * //struct fann//, which represents an artificial neural network | ||
+ | * //struct fann_train_data//, | ||
+ | * // | ||
+ | * // | ||
+ | |||
+ | ===== Funzioni ===== | ||
+ | FANN Creation/ | ||
+ | |||
+ | ==== Creation, Destruction & Execution ==== | ||
+ | |||
+ | - fann_create_standard Creates a standard fully connected backpropagation neural network. | ||
+ | - fann_create_standard_array Just like fann_create_standard, | ||
+ | - fann_create_sparse Creates a standard backpropagation neural network, which is not fully connected. | ||
+ | - fann_create_sparse_array Just like fann_create_sparse, | ||
+ | - fann_create_shortcut Creates a standard backpropagation neural network, which is not fully connected and which also has shortcut connections. | ||
+ | - fann_create_shortcut_array Just like fann_create_shortcut, | ||
+ | - fann_destroy Destroys the entire network and properly freeing all the associated memmory. | ||
+ | - fann_run Will run input through the neural network, returning an array of outputs, the number of which being equal to the number of neurons in the output layer. | ||
+ | - fann_randomize_weights Give each connection a random weight between min_weight and max_weight | ||
+ | - fann_init_weights Initialize the weights using Widrow + Nguyen’s algorithm. | ||
+ | - fann_print_connections Will print the connections of the ann in a compact matrix, for easy viewing of the internals of the ann. | ||
+ | |||
+ | ==== Parameters ==== | ||
+ | |||
+ | * fann_print_parameters Prints all of the parameters and options of the ANN | ||
+ | * fann_get_num_input Get the number of input neurons. | ||
+ | * fann_get_num_output Get the number of output neurons. | ||
+ | * fann_get_total_neurons Get the total number of neurons in the entire network. | ||
+ | * fann_get_total_connections Get the total number of connections in the entire network. | ||
+ | * fann_get_network_type Get the type of neural network it was created as. | ||
+ | * fann_get_connection_rate Get the connection rate used when the network was created | ||
+ | * fann_get_num_layers Get the number of layers in the network | ||
+ | * fann_get_layer_array Get the number of neurons in each layer in the network. | ||
+ | * fann_get_bias_array Get the number of bias in each layer in the network. | ||
+ | * fann_get_connection_array Get the connections in the network. | ||
+ | * fann_set_weight_array Set connections in the network. | ||
+ | * fann_set_weight Set a connection in the network. | ||
+ | * fann_set_user_data Store a pointer to user defined data. | ||
+ | * fann_get_user_data Get a pointer to user defined data that was previously set with fann_set_user_data. | ||
+ | * fann_get_decimal_point Returns the position of the decimal point in the ann. | ||
+ | * fann_get_multiplier returns the multiplier that fix point data is multiplied with. |
neurali/libfann2.txt · Last modified: 2020/06/08 22:20 by 127.0.0.1