Results of 61 - 70 of about 198 for [SIMILAR] 16 1024 4096 WITH 30608 algorithm WITH... (0.246 sec.)
- Calculate input and output scaling parameters for future use based on training d... 0
- « fann_set_sarprop_weight_decay_shift fann_set_train_error_function » PHP Manual Fann 関数 Calculate input and output scaling parameters for future use based on training data fann_set_scaling_params (PECL fann >= 1.0.0) fann_set_scaling_params — Calculate input and output scaling paramet
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https://man.plustar.jp/php/function.fann-set-scaling-params.html
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- Train one iteration with a set of inputs, and a set of desired outputs 0
- « fann_train_on_file FANNConnection » PHP Manual Fann 関数 Train one iteration with a set of inputs, and a set of desired outputs fann_train (PECL fann >= 1.0.0) fann_train — Train one iteration with a set of inputs, and a set of desired outputs 説明 fann_train ( resource $ann , array $i
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https://man.plustar.jp/php/function.fann-train.html
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- Calculate input scaling parameters for future use based on training data 0
- « fann_set_error_log fann_set_learning_momentum » PHP Manual Fann 関数 Calculate input scaling parameters for future use based on training data fann_set_input_scaling_params (PECL fann >= 1.0.0) fann_set_input_scaling_params — Calculate input scaling parameters for future use based on tr
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https://man.plustar.jp/php/function.fann-set-input-scaling-params.html
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- Calculate output scaling parameters for future use based on training data 0
- « fann_set_learning_rate fann_set_quickprop_decay » PHP Manual Fann 関数 Calculate output scaling parameters for future use based on training data fann_set_output_scaling_params (PECL fann >= 1.0.0) fann_set_output_scaling_params — Calculate output scaling parameters for future use based
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https://man.plustar.jp/php/function.fann-set-output-scaling-params.html
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- 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
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https://man.plustar.jp/php/function.fann-test.html
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- The SVM class 0
- « 例 SVM::__construct » PHP Manual SVM The SVM class The SVM class (PECL svm >= 0.1.0) はじめに クラス概要 class SVM { /* Constants */ const int C_SVC = 0 ; const int NU_SVC = 1 ; const int ONE_CLASS = 2 ; const int EPSILON_SVR = 3 ; const int NU_SVR = 4 ; const int KERNEL_LINEAR = 0 ; c
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https://man.plustar.jp/php/class.svm.html
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- 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
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https://man.plustar.jp/php/function.fann-get-mse.html
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- 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
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https://man.plustar.jp/php/fann.examples-1.html
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- Give each connection a random weight between min_weight and max_weight 0
- « fann_print_error fann_read_train_from_file » PHP Manual Fann 関数 Give each connection a random weight between min_weight and max_weight fann_randomize_weights (PECL fann >= 1.0.0) fann_randomize_weights — Give each connection a random weight between min_weight and max_weight 説明 fann
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https://man.plustar.jp/php/function.fann-randomize-weights.html
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- Saves the entire network to a configuration file 0
- « fann_save_train fann_scale_input_train_data » PHP Manual Fann 関数 Saves the entire network to a configuration file fann_save (PECL fann >= 1.0.0) fann_save — Saves the entire network to a configuration file 説明 fann_save ( resource $ann , string $configuration_file ): bool Saves the
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https://man.plustar.jp/php/function.fann-save.html
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