FIX+MOD: corrected the L-M formulation, modified particle swarm to define its domain box around the current best guess (for the purposes of learning sequencing)

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

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

Every learning method now inherits from the abstract class LearningMethod, instead from the interface ILearningMethod.

ENH + FIX: Fixed output problems of MSE evaluation and the data-set is not de-normalized anymore, when evaluating an error, thus the error can be evaluated multiple times (e.g. using different networks).

FIX: Fixed non-normalizing eval() method in ErrorFunctions + rewritten ErrorFunction classes to prevent duplication of code.

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.