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定義済み定数 11602
« リソース型 例 » PHP Manual FANN 定義済み定数 検索 定義済み定数 以下の定数が定義されています。 この関数の拡張モジュールが PHP 組み込みでコンパイルされているか、 実行時に動的にロードされている場合のみ使用可能です。 Training algorithms FANN_ ... FANN_THRESHOLD ( int ) Threshold activation function. FANN_THRESHOLD_SYMMETRIC ( int ) Threshold activation function. FANN_SIGMOID ( int ) Sigmoid activation function. FANN_SIGMOID_STEPWISE ( int ) Stepwise linear approximation to sigmoid. FANN_SIGMOID_ ... SYMMETRIC ( int ) Symmetric sigmoid activation function, aka. tanh. FANN_SIGMOID_SYMMETRIC_STEPWISE ( int ) Stepwise linear approximation to symmetric sigmoid ... ssian activation function. FANN_GAUSSIAN_STEPWISE ( int ) Stepwise Gaussian activation function. FANN_ELLIOT ( int ) Fast (sigmoid-like) activation function defined by David Elliott. FANN_ELLIOT_SYMMETRIC ( int ) Fast (symmetric sigmoid-like) activation ...
https://man.mtool.work/php/8.3/fann.constants.html
定義済み定数 11602
« リソース型 例 » PHP Manual FANN 定義済み定数 検索 定義済み定数 以下の定数が定義されています。 この関数の拡張モジュールが PHP 組み込みでコンパイルされているか、 実行時に動的にロードされている場合のみ使用可能です。 Training algorithms FANN_ ... FANN_THRESHOLD ( int ) Threshold activation function. FANN_THRESHOLD_SYMMETRIC ( int ) Threshold activation function. FANN_SIGMOID ( int ) Sigmoid activation function. FANN_SIGMOID_STEPWISE ( int ) Stepwise linear approximation to sigmoid. FANN_SIGMOID_ ... SYMMETRIC ( int ) Symmetric sigmoid activation function, aka. tanh. FANN_SIGMOID_SYMMETRIC_STEPWISE ( int ) Stepwise linear approximation to symmetric sigmoid ... ssian activation function. FANN_GAUSSIAN_STEPWISE ( int ) Stepwise Gaussian activation function. FANN_ELLIOT ( int ) Fast (sigmoid-like) activation function defined by David Elliott. FANN_ELLIOT_SYMMETRIC ( int ) Fast (symmetric sigmoid-like) activation ...
https://man.mtool.work/php/8.3/fann.constants.html
The SVM class 10529
« 例 SVM::__construct » PHP Manual SVM The SVM class 検索 The SVM class (PECL svm >= 0.1.0) はじめに クラス概要 class SVM { /* 定数 */ 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 ; const int KERNEL_POLY = 1 ; const int KERNEL_RBF = 2 ; const int KERNEL_SIGMOID = 3 ; const int KERNEL_PRECOMPUTED = 4 ; const int OPT_TYPE = 101 ; const int OPT_KERNEL_TYPE = 102 ; const int OPT_DEGREE ... _RBF The common Gaussian RBD kernel. Handles non-linear problems well and is a good default for classification SVM::KERNEL_SIGMOID A kernel based on the sigmoid function. Using this makes the SVM very similar to a two layer sigmoid based neural network ... ameter, boolean, for whether to collect and use probability estimates SVM::OPT_GAMMA Algorithm parameter for Poly, RBF and Sigmoid kernel types. SVM::OPT_NU The option key for the nu parameter, only used in the NU_ SVM types SVM::OPT_EPS The option key ...
https://man.mtool.work/php/8.3/class.svm.html
The SVM class 10529
« 例 SVM::__construct » PHP Manual SVM The SVM class 検索 The SVM class (PECL svm >= 0.1.0) はじめに クラス概要 class SVM { /* 定数 */ 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 ; const int KERNEL_POLY = 1 ; const int KERNEL_RBF = 2 ; const int KERNEL_SIGMOID = 3 ; const int KERNEL_PRECOMPUTED = 4 ; const int OPT_TYPE = 101 ; const int OPT_KERNEL_TYPE = 102 ; const int OPT_DEGREE ... _RBF The common Gaussian RBD kernel. Handles non-linear problems well and is a good default for classification SVM::KERNEL_SIGMOID A kernel based on the sigmoid function. Using this makes the SVM very similar to a two layer sigmoid based neural network ... ameter, boolean, for whether to collect and use probability estimates SVM::OPT_GAMMA Algorithm parameter for Poly, RBF and Sigmoid kernel types. SVM::OPT_NU The option key for the nu parameter, only used in the NU_ SVM types SVM::OPT_EPS The option key ...
https://man.mtool.work/php/8.3/class.svm.html
Returns the cascade activation functions 7723
« fann_get_bit_fail_limit fann_get_cascade_activation_functions_count » PHP Manual Fann 関数 Returns the cascade activation functions 検索 fann_get_cascade_activation_functions (PECL fann >= 1.0.0) fann_get_cascade_activation_functions — Re ... () for a description of which candidate neurons will be generated by this array. The default activation functions are FANN_SIGMOID , FANN_SIGMOID_SYMMETRIC , FANN_GAUSSIAN , FANN_GAUSSIAN_SYMMETRIC , FANN_ELLIOT , FANN_ELLIOT_SYMMETRIC . パラメータ ann ...
https://man.mtool.work/php/8.3/function.fann-get-cascade-activation-functions.ht...
Returns the cascade activation functions 7723
« fann_get_bit_fail_limit fann_get_cascade_activation_functions_count » PHP Manual Fann 関数 Returns the cascade activation functions 検索 fann_get_cascade_activation_functions (PECL fann >= 1.0.0) fann_get_cascade_activation_functions — Re ... () for a description of which candidate neurons will be generated by this array. The default activation functions are FANN_SIGMOID , FANN_SIGMOID_SYMMETRIC , FANN_GAUSSIAN , FANN_GAUSSIAN_SYMMETRIC , FANN_ELLIOT , FANN_ELLIOT_SYMMETRIC . パラメータ ann ...
https://man.mtool.work/php/8.3/function.fann-get-cascade-activation-functions.ht...
Sets the activation function for supplied neuron and layer 7472
« fann_scale_train_data fann_set_activation_function_hidden » PHP Manual Fann 関数 Sets the activation function for supplied neuron and layer 検索 fann_set_activation_function (PECL fann >= 1.0.0) fann_set_activation_function — Sets the act ... yer. When choosing an activation function it is important to note that the activation functions have different range. FANN_SIGMOID is e.g. in the 0 - 1 range while FANN_SIGMOID_SYMMETRIC is in the -1 - 1 range and FANN_LINEAR is unbound. The supplied ac ...
https://man.mtool.work/php/8.3/function.fann-set-activation-function.html
Sets the activation function for supplied neuron and layer 7472
« fann_scale_train_data fann_set_activation_function_hidden » PHP Manual Fann 関数 Sets the activation function for supplied neuron and layer 検索 fann_set_activation_function (PECL fann >= 1.0.0) fann_set_activation_function — Sets the act ... yer. When choosing an activation function it is important to note that the activation functions have different range. FANN_SIGMOID is e.g. in the 0 - 1 range while FANN_SIGMOID_SYMMETRIC is in the -1 - 1 range and FANN_LINEAR is unbound. The supplied ac ...
https://man.mtool.work/php/8.3/function.fann-set-activation-function.html
XOR training 7311
« 例 Fann 関数 » PHP Manual 例 XOR training 検索 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 ... layers , $num_input , $num_neurons_hidden , $num_output ); if ( $ann ) { fann_set_activation_function_hidden ( $ann , FANN_SIGMOID_SYMMETRIC ); fann_set_activation_function_output ( $ann , FANN_SIGMOID_SYMMETRIC ); $filename = dirname ( __FILE__ ) . "/x ...
https://man.mtool.work/php/8.3/fann.examples-1.html
XOR training 7311
« 例 Fann 関数 » PHP Manual 例 XOR training 検索 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 ... layers , $num_input , $num_neurons_hidden , $num_output ); if ( $ann ) { fann_set_activation_function_hidden ( $ann , FANN_SIGMOID_SYMMETRIC ); fann_set_activation_function_output ( $ann , FANN_SIGMOID_SYMMETRIC ); $filename = dirname ( __FILE__ ) . "/x ...
https://man.mtool.work/php/8.3/fann.examples-1.html
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