  Researchers are often perplexed when their machine learning algorithms are
required to deal with complex number. Various strategies are commonly employed
to project complex number into real number, although it is frequently
sacrificing the information contained in the complex number. This paper
proposes a new method and four techniques to represent complex number as real
number, without having to sacrifice the information contained. The proposed
techniques are also capable of retrieving the original complex number from the
representing real number, with little to none of information loss. The
promising applicability of the proposed techniques has been demonstrated and
worth to receive further exploration in representing the complex number.
