The debutanizer column is an important unit operation in petroleum refining industries as it is the main column to produce liquefied petroleum gas as its top product and light naphtha as its bottom product. This system is difficult to handle from a control standpoint due to its nonlinear behavior, multivariable interaction and existence of numerous constraints on both its manipulated and state ...

It has been found from the literature review that the ANFIS-based maximum power point tracking (MPPT) techniques are very fast and accurate in tracking the MPP at any weather conditions, and they have smaller power losses if trained well. Unfortunately, this is true in simulation, but in practice they do not work very well because they do not take aging of solar cells as well as the effect of d...

The aim of this article is to study the concept of unique solvability of max-min fuzzy neutrosophic soft matrix equation and strong regularity of fuzzy neutrosophic soft matrices over Fuzzy Neutrosophic Soft Algebra (FNSA). A Fuzzy Neutrosophic Soft Matrix (FNSM) is said to have Strong, Linear Independent (SLI) column (or, in the case of fuzzy neutrosophic soft square matrices, to be strongly r...

This paper presents an adaptive neuro-fuzzy inference system (ANFIS), which has been adapted as an alternative to other classical models for estimating the vehicle delays at signalized junctions. Rules, fuzzification, and inference were modeled by ANFIS. In this model, a hybrid algorithm was used for training and tests. The artificial network used three input variables representing simulation o...

Hybrid soft computing models, based by neural, fuzzy and evolutionary computation technologies, have been applied to a large number of classification, prediction, and control problems. This paper focuses on one of such applications and presents a systematic process for building a predictive model to estimate time-to-breakage and provide a web break tendency indicator in the wet-end part of pape...

Abstract Rock properties are important for design of surface and underground mines as well civil engineering projects. Among rock is the characteristic impedance rock. Characteristic plays a crucial role in solving problems shock waves mining engineering. The characteristics has been related with other literature. However, regression models between literature do not consider variabilities their...

Most practices applied in the development of lighting usage profile do not reflect the complexity occupants have on lighting loads in residential buildings. This study involves the use of Adaptive Neural Fuzzy Inference System (ANFIS) and regression model for residential load usage profile development, prediction and evaluation for energy and demand side management initiatives. Three variables ...

This study investigates the prediction model of compressive strength of self–compacting concrete (SCC) by utilizing soft computing techniques. The techniques consist of adaptive neuro–based fuzzy inference system (ANFIS), artificial neural network (ANN) and the hybrid of particle swarm optimization with passive congregation (PSOPC) and ANFIS called PSOPC–ANFIS. Their perf...

This paper describes the modelling and control of a pH neutralization process using a Local Linear Model Tree (LOLIMOT) and an adaptive neuro–fuzzy inference system (ANFIS). The Direct and Inverse model building using LOLIMOT and ANFIS structures is described and compared. The direct and inverse models of the pH system are identified based on experimental data for the LOLIMOT and ANFIS structur...