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Results of 51 - 60 of about 74 for [SIMILAR] 16 1024 4096 WITH 30993 cascadetrain W... (0.046 sec.)

Returns the number of candidates used during training 0: « fann_get_cascade_num_candidate_groups fann_get_cascade_output_change_fraction » PHP Manual Fann 関数 Returns the number of candidates used during training fann_get_cascade_num_candidates (PECL fann >= 1.0.0) fann_get_cascade_num_candidates — Returns the number of candidates used during ...; https://man.plustar.jp/php/function.fann-get-cascade-num-candidates.html - [similar]

Initialize the weights using Widrow + Nguyen’s algorithm 0: « fann_get_training_algorithm fann_length_train_data » PHP Manual Fann 関数 Initialize the weights using Widrow + Nguyen's algorithm fann_init_weights (PECL fann >= 1.0.0) fann_init_weights — Initialize the weights using Widrow + Nguyen's algorithm 説明 fann_init_weights ( resource $ann ...; https://man.plustar.jp/php/function.fann-init-weights.html - [similar]

Reads the mean square error from the network 0: « fann_get_learning_rate fann_get_network_type » PHP Manual Fann 関数 Reads the mean square error from the network fann_get_MSE (PECL fann >= 1.0.0) fann_get_MSE — Reads the mean square error from the network 説明 fann_get_MSE ( resource $ann ): float Reads the mean square error from the ...; https://man.plustar.jp/php/function.fann-get-mse.html - [similar]

サポートベクターマシン 0: « StompException::getDetails はじめに » PHP Manual その他のサービスサポートベクターマシンサポートベクターマシンはじめにインストール/設定要件インストール手順実行時設定リソース型例 SVM — The SVM class SVM::__construct — SVM オブジェクトを新規構築 SVM::crossvalidate — Test training ...; https://man.plustar.jp/php/book.svm.html - [similar]

XOR training 0: « 例 Fann 関数 » PHP Manual 例 XOR training XOR training This example shows how to train data for XOR function 例1 xor.data file 4 2 1 -1 -1 -1 -1 1 1 1 -1 1 1 1 -1 例2 Simple train <?php $num_input = 2 ; $num_output = 1 ; $num_layers = 3 ; $num_neurons_hidden = 3 ; $desired_error = 0.00 ...; https://man.plustar.jp/php/fann.examples-1.html - [similar]

Sets the learning momentum 0: « fann_set_input_scaling_params fann_set_learning_rate » PHP Manual Fann 関数 Sets the learning momentum fann_set_learning_momentum (PECL fann >= 1.0.0) fann_set_learning_momentum — Sets the learning momentum 説明 fann_set_learning_momentum ( resource $ann , float $learning_momentum ): b ...; https://man.plustar.jp/php/function.fann-set-learning-momentum.html - [similar]

Sets the learning rate 0: « fann_set_learning_momentum fann_set_output_scaling_params » PHP Manual Fann 関数 Sets the learning rate fann_set_learning_rate (PECL fann >= 1.0.0) fann_set_learning_rate — Sets the learning rate 説明 fann_set_learning_rate ( resource $ann , float $learning_rate ): bool Sets the learni ...; https://man.plustar.jp/php/function.fann-set-learning-rate.html - [similar]

Test with a set of inputs, and a set of desired outputs 0: « fann_test_data fann_train_epoch » PHP Manual Fann 関数 Test with a set of inputs, and a set of desired outputs fann_test (PECL fann >= 1.0.0) fann_test — Test with a set of inputs, and a set of desired outputs 説明 fann_test ( resource $ann , array $input , array $desired_output ): arr ...; https://man.plustar.jp/php/function.fann-test.html - [similar]

Returns the activation steepness for supplied neuron and layer number 0: « fann_get_activation_function fann_get_bias_array » PHP Manual Fann 関数 Returns the activation steepness for supplied neuron and layer number fann_get_activation_steepness (PECL fann >= 1.0.0) fann_get_activation_steepness — Returns the activation steepness for supplied neuron and laye ...; https://man.plustar.jp/php/function.fann-get-activation-steepness.html - [similar]

Sets the activation steepness for supplied neuron and layer number 0: « fann_set_activation_steepness_output fann_set_bit_fail_limit » PHP Manual Fann 関数 Sets the activation steepness for supplied neuron and layer number fann_set_activation_steepness (PECL fann >= 1.0.0) fann_set_activation_steepness — Sets the activation steepness for supplied neuron an ...; https://man.plustar.jp/php/function.fann-set-activation-steepness.html - [similar]