Nowadays, developing estimation algorithms that can provide an accurate and optimal estimation of the targeted output remains to be a challenging topic for both research and industrial areas. Despite the numerous numbers of research done on the topic of improving the efficiency and accuracy of different estimation algorithms, there is always a margin of failure that can be caused by the infinite size of the input space where it can make the algorithm unable to estimate the correct output. This problem is specifically evident during runtime since many uncertainties will rise that are caused by different working conditions and it is impossible to know if our algorithm is providing accurate estimation or not.