(PECL fann >= 1.0.0) Returns the learning momentum

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

(PECL fann >= 1.0.0) Shuffles training data, randomizing the order

(PECL fann >= 1.0.0) Set the bit fail limit used during training

(PECL fann >= 1.0.0) Returns the decay which is a factor that weights should decrease in each iteration during

(PECL fann >= 1.0.0) Returns the sarprop step error threshold factor

(PECL fann >= 1.0.0) Destroys the entire network and properly freeing all the associated memory

(PECL fann >= 1.0.0) Returns the initial step-size

(PECL fann >= 1.0.0) Creates a standard backpropagation neural network, which is not fully connected using

(PECL fann >= 1.0.0) Returns the last errstr