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Results of 1 - 10 of about 19 for weights (0.025 sec.)
Initialize the weights using Widrow + Nguyen’s algorithm 13557
« fann_get_training_algorithm fann_length_train_data » PHP Manual Fann 関数 Initialize the weights `...` ts using Widrow + Nguyen's algorithm fann_init_weights (PECL fann >= 1.0.0) fann_init_weights — Initializ `...` e the weights using Widrow + Nguyen's algorithm 説明 fann_init_w `...` \$ann , resource \$train_data ): bool Initialize the weights using Widrow + Nguyen's algorithm. This function b `...` ehaves similarly to fann_randomize_weights() . It will use the algorithm developed by Derrick `...`
https://man.plustar.jp/php/function.fann-init-weights.html - [similar]
Give each connection a random weight between min_weight and max_weight 11645
« fann_print_error fann_read_train_from_file » PHP Manual Fann 関数 Give each connection a rando `...` t between min_weight and max_weight fann_randomize_weights (PECL fann >= 1.0.0) fann_randomize_weights — Give `...` ween min_weight and max_weight 説明 fann_randomize_weights ( resource \$ann , float \$min_weight , float \$max_w `...` n min_weight and max_weight From the beginning the weights are random between -0.1 and 0.1. パラメータ ann ニ `...` 、それ以外の場合に false を返します。 参考 fann_init_weights() - Initialize the weights using Widrow + Nguyen's `...`
https://man.plustar.jp/php/function.fann-randomize-weights.html - [similar]
Returns the decay which is a factor that weights should decrease in each iterati... 11013
« fann_get_num_output fann_get_quickprop_mu » PHP Manual Fann 関数 Returns the decay which is a `...` factor that weights should decrease in each iteration during quickprop `...` p_decay — Returns the decay which is a factor that weights should decrease in each iteration during quickprop `...` negative valued number which is a factor that the weights should decrease in each iteration during quickprop `...` training. This is used to make sure that the weights do not become too high during training. The defaul `...`
https://man.plustar.jp/php/function.fann-get-quickprop-decay.html - [similar]
Create a SVMModel based on training data 9357
« SVM::setOptions SVMModel » PHP Manual SVM Create a SVMModel based on training data SVM::train `...` a 説明 public svm::train ( array \$problem , array \$weights = ? ): SVMModel Train a support vector machine bas `...` g to a data source formatted as in the file above. weights Weights are an optional set of weighting parameter `...` example than one, the weight for -1 could be 0.5. Weights should be in the range 0-1. 戻り値 Returns an SVMM `...`
https://man.plustar.jp/php/svm.train.html - [similar]
Set connections in the network 9032
« fann_set_training_algorithm fann_set_weight » PHP Manual Fann 関数 Set connections in the netw `...` s ): bool Set connections in the network. Only the weights can be changed, connections and weights are ignore `...` : connections , Set , fann , in , array , weight , weights , already , objects , FANNConnection `...`
https://man.plustar.jp/php/function.fann-set-weight-array.html - [similar]

« gethostname getprotobyname » PHP Manual ネットワーク 関数 指定したインターネットホスト名に対応 `...` tmxrr ( string \$hostname , array &\$hosts , array &\$weights = null ): bool hostname に対応する MX レコードを D `...` MX レコードのリストが、配列 hosts に格納されます。 weights 配列 weights を指定すると、 そこに重み情報が格納さ `...` , hostname , アドレス , メールエクスチェンジャー , weights , hosts `...`
https://man.plustar.jp/php/function.getmxrr.html - [similar]
Returns the number of training patterns in the train data 8281
« fann_init_weights fann_merge_train_data » PHP Manual Fann 関数 Returns the number of training `...` , Returns , patterns , length , resource , init , weights , merge , Fann `...`
https://man.plustar.jp/php/function.fann-length-train-data.html - [similar]
Prints the error string 8281
« fann_num_output_train_data fann_randomize_weights » PHP Manual Fann 関数 Prints the error stri `...` , the , errdat , リソース , errstr , num , data , weights , Fann `...`
https://man.plustar.jp/php/function.fann-print-error.html - [similar]

« リソース型 例 » PHP Manual FANN 定義済み定数 定義済み定数 以下の定数が定義されています。 この関 `...` nt ) Standard backpropagation algorithm, where the weights are updated after each training pattern. This mean `...` s that the weights are updated many times during a single epoch. For `...` nt ) Standard backpropagation algorithm, where the weights are updated after calculating the mean square erro `...` r for the whole training set. This means that the weights are only updated once during a epoch. For this rea `...`
https://man.plustar.jp/php/fann.constants.html - [similar]
Fann 関数 7803
« XOR training fann_cascadetrain_on_data » PHP Manual FANN Fann 関数 Fann 関数 目次 fann_cascade `...` p_decay — Returns the decay which is a factor that weights should decrease in each iteration during quickprop `...` gorithm — Returns the training algorithm fann_init_weights — Initialize the weights using Widrow + Nguyen's a `...` int_error — Prints the error string fann_randomize_weights — Give each connection a random weight between min `...`
https://man.plustar.jp/php/ref.fann.html - [similar]
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