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

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

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

(PECL fann >= 1.0.0) Sets where the errors are logged to

(PECL fann >= 1.0.0) Sets the learning momentum

(PECL fann >= 1.0.0) Get connections in the network

(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 after get it from ann based on previously calculated parameters

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

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