fann_get_layer_array
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Get the number of neurons in each layer in the network

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fann_set_activation_steepness_output
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Sets the steepness of the activation steepness in the output layer

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

(PECL fann >= 1.0.0) The connection constructor

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fann_set_activation_steepness_hidden
  • References/PHP/Function/Extensions/FANN/Fann

(PECL fann >= 1.0.0) Sets the steepness of the activation steepness for all neurons in the all hidden layers

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

(PECL fann >= 1.0.0) Returns the cascade activation steepnesses

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

(PECL fann >= 1.0.0) Resets the last error string

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

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

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

(PECL fann >= 1.0.0) Initialize the weights using Widrow + Nguyen’s algorithm

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

(PECL fann >= 1.0.0) Reads a file that stores training data

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

(PECL fann >= 1.0.0) Sets the activation function for supplied neuron and layer

2025-01-10 15:47:30