ADD+MOD+FIX: added new evaluation functions for debug/testing purposes, modified random generation of parameters, fixed the calculation of gradient via backpropagation

ADD+MOD: added two new learning methods and a new learning method able to cycle through user defined sequence of learning methods

ADD: added proggress debug output for particle swarm optimization

FIX: Removing max and min values after de-normalization of data-set, so the is_normalized() method will again return 'False' after de-normalization.

FIX: Removed 'normalized' and 'de-normalized' evaluation as there is just 'de-normalized' natively from now.