Forecasting Wastewater Treatment Results with an ANFIS Intelligent System
Journal Title: Engineering, Technology & Applied Science Research - Year 2016, Vol 6, Issue 5
Abstract
Wastewaters caused by industrial and manufacturing production containing pollutants which beside degradation and depletion of natural resources, impose excessive pressure on the Earth's ecosystems and exacerbate water shortages. One of the pollutants is a toxic substance named Malachite Green (MG). Wastewater treatment means to obtain usable water by separating contaminants of contaminated water. One of its main purposes is the recovery and re-use of wastewater for a variety of uses including agriculture and aquaculture, especially in arid and semi-arid countries, as well as providing environmental protection. The main purpose of the present study was to investigate MG separation efficiency by nano composite materials. Poly-aniline was covered on Wheat Husk Ash in order to prepare this type of nano composite. The material was analyzed by X-ray radiation and scanned by an electron microscope. The level of separation depends on the initial value of wheat husk ash and poly-aniline and the initial concentration of MG and the intensity of ultraviolet radiation and radiation time. The effect of these parameters was investigated and optimum operating conditions were obtained. An adaptive neural fuzzy intelligent system was used to forecast the results of the MG separation process. The comparison between the results forecasted by the designed model and experimental data strengthens the validity of the process.
Authors and Affiliations
M. Mahshidnia, A. Jafarian
Keywords
Related Articles
- EP ID EP110570
- DOI -
- Views 243
- Downloads 0
A Constrained Multi-Objective Learning Algorithm for Feed-Forward Neural Network Classifiers
This paper proposes a new approach to address the optimal design of a Feed-forward Neural Network (FNN) based classifier. The originality of the proposed methodology, called CMOA, lie in the use of a new constraint handl...
Influence of BCH and LDPC Code Parameters on the BER Characteristic of Satellite DVB Channels
This article presents the results of a study on the noise immunity of DVB channels when higher-order M-ary APSK modulation schemes and concatenated BCH-LDPC codes are used. Dependencies to determine the probability at th...
Effect of Supply Chain Information Systems on Firm Performance: An Empirical Case Study
This study evaluates the effect of supply chain information systems on firm performance in IKAMCO as a empirical case study. For this purpose, The 132 IKAMCO employees selected by simple random sampling responded to a qu...
Optimal Placement and Sizing of Fault Current Limiters in Distributed Generation Systems Using a Hybrid Genetic Algorithm
Distributed Generation (DG) connection in a power system tends to increase the short circuit level in the entire system which, in turn, could eliminate the protection coordination between the existing relays. Fault Curre...
A Comparative Study of Construction Waste Generation Rate Based on Different Construction Methods on Construction Project in Malaysia
High construction waste (CW) generation in Malaysia has serious impacts although there are very little available data regarding the relevant issue in Malaysia. This lack of data results in improper CW management and CW d...