Artificial neural network (ANN) introduces different types of neural network structures and
has been applied successfully in diverse domains of real-world problems. Among various …

Accurate prediction of stock market returns is a very challenging task because of the highly
nonlinear nature of the financial time series. In this study, we apply an artificial neural …

Multiphase flow meters (MPFMs) are utilized to provide quick and accurate well test data in
numerous numbers of oil production applications like those in remote or unmanned …

Reservoir characterization involves describing different reservoir properties quantitatively
using various techniques in spatial variability. Nevertheless, the entire reservoir cannot be …

The precipitation and deposition of crude oil polar fractions such as asphaltenes in
petroleum reservoirs reduce considerably the rock permeability and the oil recovery. In the …

One of the most important phenomena in petroleum industry is the precipitation of heavy
organic materials such as asphaltene in oil reservoirs, which can cause diffusivity reduction …

Appropriate production method selection for Viscous Oil (eg, Heavy Oil, Extra Heavy Oil, and
Bitumen) Naturally Fractured Carbonate Reservoirs (VO NFCRs) mostly depends on the …

Skin color detection is a popular and useful technique because of its wide range of
utilizations both in human computer interaction and content based analysis. Applications …

The term neural network evolution usually refers to network topology evolution leaving the
network's parameters to be trained using conventional algorithms. In this paper we present a …

Abstract ystem identification is mainly the process of improving a mathematical modeling of
a physical system using experimental data. In this paper, a new hybrid wavelet neural …