(PECL fann >= 1.0.0) Sets the activation function for all the neurons in the supplied layer.

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

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

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

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

(PECL fann >= 1.0.0) Get the connection rate used when the network was created

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

(PECL fann >= 1.0.0) Trains on an entire dataset, for a period of time using the Cascade2 training algorithm

(PECL fann >= 1.0.0) Sets the array of cascade candidate activation steepnesses

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