FANNConnection::getToNeuron
  • References/PHP/Function/Extensions/FANN/FANNConnection

(PECL fann >= 1.0.0) Returns the postions of terminating neuron

2025-01-10 15:47:30
fann_clear_scaling_params
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Clears scaling parameters

2025-01-10 15:47:30
fann_set_cascade_num_candidate_groups
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Sets the number of candidate groups

2025-01-10 15:47:30
fann_set_train_stop_function
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Sets the stop function used during training

2025-01-10 15:47:30
fann_scale_input_train_data
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Scales the inputs in the training data to the specified range

2025-01-10 15:47:30
fann_scale_input
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Scale data in input vector before feed it to ann based on previously calculated parameters

2025-01-10 15:47:30
fann_get_cascade_candidate_stagnation_epochs
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Returns the number of cascade candidate stagnation epochs

2025-01-10 15:47:30
fann_create_standard_array
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Creates a standard fully connected backpropagation neural network using an array of

2025-01-10 15:47:30
fann_descale_input
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Scale data in input vector after get it from ann based on previously calculated parameters

2025-01-10 15:47:30
FANNConnection::getFromNeuron
  • References/PHP/Function/Extensions/FANN/FANNConnection

(PECL fann >= 1.0.0) Returns the postions of starting neuron.

2025-01-10 15:47:30