Forecasting Wastewater Treatment Results with an ANFIS Intelligent System
نویسندگان
چکیده
منابع مشابه
An Intelligent Decision Support System for Wastewater Treatment Plant Management
The paper describes the design of a finite state automaton which forms the kernel of an Intelligent Decision Support System that has been implemented and integrated into the existing supervisory control and data acquisition system at a medium scale municipal Wastewater Treatment Plant. The system provides real-time support and advice to the operators and the manager of the plant for a wide rang...
متن کاملAdaptive Network Based Fuzzy Interference System (ANFIS) Modeling of an Anaerobic Wastewater Treatment Process
The successful operation of a high-rate anaerobic reactor, up flow anaerobic sludge blanket (UASB) reactor depends on the prevailing physico-chemical and biological conditions during its operation. The wastewater characteristics and composition, the hydrodynamics of the process, and microbial activity are critical for achieving long term, optimal reactor performance. Modeling UASBs can be benef...
متن کاملCrude Oil Price Forecasting with Anfis
Crude oil pricing is commonly expressed as a formula referenced to Brent or WTI crude oil. The final price of these two qualities and the spread between WTI and Brent can drive the decision when the purchase of a crude oil cargo is evaluated. A crude oil price-forecasting model is presented. It is based on past data, inventory level and volatility index and it is derived with a neuro fuzzy infe...
متن کاملAverage Hourly Wind Speed Forecasting with ANFIS
Wind energy is increasing its participation as a main source of energy in power grids and electric utility systems around the world. One of the main difficulties of integrating large amounts of wind energy in power grids is the natural intermittency of its generated power [1, 2] due to the energy produced from the wind turbine being dependent on the availability of the wind, which is highly sto...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Engineering, Technology & Applied Science Research
سال: 2016
ISSN: 1792-8036,2241-4487
DOI: 10.48084/etasr.745