Artificial Neural Networks is a calculation method that builds several processing units based
on interconnected connections. The network consists of an arbitrary number of cells or …

Purpose The predictive accuracy and reliability of artificial intelligence models, such as the
artificial neural network (ANN), has led to its application in property valuation studies …

History matching is the process of adjusting uncertain reservoir parameters until an
acceptable match with the measured production data is obtained. Complexity and …

By applying RapidMiner workflows has been processed a dataset originated from different
data files, and containing information about the sales over three years of a large chain of …

This study examines the application of pattern recognition technologies to improve the time
and effort required for completing successful history matching projects. The pattern …

Casdagli, M.(1989). Nonlinear prediction of chaotic time-series. Physica, 35, 335–356.
Chattopadhyay, M., Dan, PK, Majumdar, S., & Chakraborty, PS (2012). Application of …

Online reviews have become one of the most influential persuasive messages concerning
decisions making. Researchers have explored different aspects of online reviews and the …

With the advent of the Internet and social media, while hundreds of people have benefitted
from the vast sources of information available, there has been an enormous increase in the …

Autism Spectrum Disorder (ASD) is becoming a big issue in numerous countries around the
world which can even negatively affect human natural evolution. Even though autism can be …

In this paper we evaluate metaheuristic optimization methods on a partitional clustering task
of a real-world supply chain dataset, aiming at customer segmentation. For this purpose, we …