Results of 71 - 80 of about 82 for [SIMILAR] 16 1024 4096 WITH 28138 scales WITH 23... (0.056 sec.)
- Returns the mu factor 0
- « fann_get_quickprop_decay fann_get_rprop_decrease_factor » PHP Manual Fann 関数 Returns the mu factor fann_get_quickprop_mu (PECL fann >= 1.0.0) fann_get_quickprop_mu — Returns the mu factor 説明 fann_get_quickprop_mu ( resource $ann ): float The mu factor is used to increase and decrea
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https://man.plustar.jp/php/function.fann-get-quickprop-mu.html
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- Sets the quickprop decay factor 0
- « fann_set_output_scaling_params fann_set_quickprop_mu » PHP Manual Fann 関数 Sets the quickprop decay factor fann_set_quickprop_decay (PECL fann >= 1.0.0) fann_set_quickprop_decay — Sets the quickprop decay factor 説明 fann_set_quickprop_decay ( resource $ann , float $quickprop_decay ):
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https://man.plustar.jp/php/function.fann-set-quickprop-decay.html
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- Set connections in the network 0
- « fann_set_training_algorithm fann_set_weight » PHP Manual Fann 関数 Set connections in the network fann_set_weight_array (PECL fann >= 1.0.0) fann_set_weight_array — Set connections in the network 説明 fann_set_weight_array ( resource $ann , array $connections ): bool Set connections in
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https://man.plustar.jp/php/function.fann-set-weight-array.html
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- Predict a value for previously unseen data 0
- « SVMModel::predict_probability SVMModel::save » PHP Manual SVMModel Predict a value for previously unseen data SVMModel::predict (PECL svm >= 0.1.0) SVMModel::predict — Predict a value for previously unseen data 説明 public SVMModel::predict ( array $data ): float This function accepts
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https://man.plustar.jp/php/svmmodel.predict.html
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- Descale input and output data based on previously calculated parameters 0
- « fann_descale_output fann_destroy_train » PHP Manual Fann 関数 Descale input and output data based on previously calculated parameters fann_descale_train (PECL fann >= 1.0.0) fann_descale_train — Descale input and output data based on previously calculated parameters 説明 fann_descale_t
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https://man.plustar.jp/php/function.fann-descale-train.html
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- Returns the number of candidate groups 0
- « fann_get_cascade_min_out_epochs fann_get_cascade_num_candidates » PHP Manual Fann 関数 Returns the number of candidate groups fann_get_cascade_num_candidate_groups (PECL fann >= 1.0.0) fann_get_cascade_num_candidate_groups — Returns the number of candidate groups 説明 fann_get_cascade_
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https://man.plustar.jp/php/function.fann-get-cascade-num-candidate-groups.html
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- Returns the weight multiplier 0
- « fann_get_cascade_output_stagnation_epochs fann_get_connection_array » PHP Manual Fann 関数 Returns the weight multiplier fann_get_cascade_weight_multiplier (PECL fann >= 1.0.0) fann_get_cascade_weight_multiplier — Returns the weight multiplier 説明 fann_get_cascade_weight_multiplier (
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https://man.plustar.jp/php/function.fann-get-cascade-weight-multiplier.html
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- Resets the mean square error from the network 0
- « fann_reset_errstr fann_run » PHP Manual Fann 関数 Resets the mean square error from the network fann_reset_MSE (PECL fann >= 1.0.0) fann_reset_MSE — Resets the mean square error from the network 説明 fann_reset_MSE ( string $ann ): bool Resets the mean square error from the network. Th
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https://man.plustar.jp/php/function.fann-reset-mse.html
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- Scale input and output data based on previously calculated parameters 0
- « fann_scale_train_data fann_set_activation_function_hidden » PHP Manual Fann 関数 Scale input and output data based on previously calculated parameters fann_scale_train (PECL fann >= 1.0.0) fann_scale_train — Scale input and output data based on previously calculated parameters 説明 fan
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https://man.plustar.jp/php/function.fann-scale-train.html
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- Returns the number of cascade candidate stagnation epochs 0
- « fann_get_cascade_candidate_limit fann_get_cascade_max_cand_epochs » PHP Manual Fann 関数 Returns the number of cascade candidate stagnation epochs fann_get_cascade_candidate_stagnation_epochs (PECL fann >= 1.0.0) fann_get_cascade_candidate_stagnation_epochs — Returns the number of casc
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https://man.plustar.jp/php/function.fann-get-cascade-candidate-stagnation-epochs...
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