note 126121 added to function.fann-scale-input

<?php // This example will use the XOR dataset with negative one represented // as zero and one represented as one-hundred and demonstrate how to // scale those values so that FANN can understand them and then how // to de-scale the value FANN returns so that you can understand them. // Scaling allows you to take raw data numbers like -1234.975 or 4502012 // in your dataset and convert them into an input/output range that // your neural network can understand. // De-scaling lets you take the scaled data and convert it back into // the original range. // scale_test.data // Note the values are "raw" or un-scaled. /* 4 2 1 0 0 0 0 100 100 100 0 100 100 100 0 */ //////////////////// // Configure ANN // //////////////////// // New ANN $ann = fann_create_standard_array(3, [2,3,1]); // Set activation functions fann_set_activation_function_hidden($ann, FANN_SIGMOID_SYMMETRIC); fann_set_activation_function_output($ann, FANN_SIGMOID_SYMMETRIC); // Read raw (un-scaled) training data from file $train_data = fann_read_train_from_file("scale_test.data"); // Scale the data range to -1 to 1 fann_set_input_scaling_params($ann , $train_data, -1, 1); fann_set_output_scaling_params($ann , $train_data, -1, 1); /////////// // Train // /////////// // Presumably you would train here (uncomment to perform training)... // fann_train_on_data($ann, $train_data, 100, 10, 0.01); // But it's not needed to test the scaling because the training file // in this case is just used to compute/derive the scale range. // However, doing the training will improve the answer the ANN gives // in correlation to the training data. ////////// // Test // ////////// $raw_input = array(0, 100); // test XOR (0,100) input $scaled_input = fann_scale_input ($ann , $raw_input); // scaled XOR (-1,1) input $descaled_input = fann_descale_input ($ann , $scaled_input); // de-scaled XOR (0,100) input $raw_output = fann_run($ann, $scaled_input); // get the answer/output from the ANN $output_descale = fann_descale_output($ann, $raw_output); // de-scale the output //////////////////// // Report Results // //////////////////// echo 'The raw_input:' . PHP_EOL; var_dump($raw_input); echo 'The raw_input Scaled then De-Scaled (values are unchanged/correct):' . PHP_EOL; var_dump($descaled_input); echo 'The Scaled input:' . PHP_EOL; var_dump($scaled_input); echo "The raw_output of the ANN (Scaled input):" . PHP_EOL; var_dump($raw_output); echo 'The De-Scaled output:' . PHP_EOL; var_dump($output_descale); //////////////////// // Example Output // //////////////////// /* The raw_input: array(2) { [0]=> float(0) [1]=> float(100) } The raw_input Scaled then De-Scaled (values are unchanged/correct): array(2) { [0]=> float(0) [1]=> float(100) } The Scaled input: array(2) { [0]=> float(-1) [1]=> float(1) } The raw_output of the ANN (Scaled input): array(1) { [0]=> float(1) } The De-Scaled output: array(1) { [0]=> float(100) } */ ---- Server IP: 45.112.84.4 Probable Submitter: 45.112.85.242 (proxied: 172.119.5.114) ---- Manual Page -- https://php.net/manual/en/function.fann-scale-input.php Edit -- https://main.php.net/note/edit/126121 Del: integrated -- https://main.php.net/note/delete/126121/integrated Del: useless -- https://main.php.net/note/delete/126121/useless Del: bad code -- https://main.php.net/note/delete/126121/bad+code Del: spam -- https://main.php.net/note/delete/126121/spam Del: non-english -- https://main.php.net/note/delete/126121/non-english Del: in docs -- https://main.php.net/note/delete/126121/in+docs Del: other reasons-- https://main.php.net/note/delete/126121 Reject -- https://main.php.net/note/reject/126121 Search -- https://main.php.net/manage/user-notes.php