Regional Water Circulation Health Evaluation System Based on Artificial Neural Network
نویسندگان
چکیده
منابع مشابه
Nanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network
Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...
متن کاملSTRUCTURAL RESPONSE OBSERVER BASED ON ARTIFICIAL NEURAL NETWORK
Structural vibration control is one of the most important features in structural engineering. Real-time information about seismic resultant forces is required for deciding module of intelligent control systems. Evaluation of lateral forces during an earthquake is a complicated problem considering uncertainties of gravity loads amount and distribution and earthquake characteristics. An artificia...
متن کاملWater Quality Index Estimation Model for Aquaculture System Using Artificial Neural Network
Water Quality plays an important role in attaining a sustainable aquaculture system, its cumulative effect can make or mar the entire system. The amount of dissolved oxygen (DO) alongside other parameters such as temperature, pH, alkalinity and conductivity are often used to estimate the water quality index (WQI) in aquaculture. There exist different approaches for the estimation of the quality...
متن کاملThe Economic Evaluation of Optimal Water Allocation Using Artificial Neural Network (Case Study: Moghan Plain)
recipitation shortage and the consequent loss of several water resources, as well as the population growth, are the most important problems in arid and semi-arid regions like Iran. The providence of basic tools for optimal water resources management is considered as one of the main solutions to this problem. Since the agricultural sector is the main user of water resources, the present study pr...
متن کاملAn Intelligent Modeling of Coagulant Dosing System for Water Treatment Plants based on Artificial Neural Network
Coagulation –flocculation process remains a very essential part in the water treatment chain. It involves both physical and chemical phenomena and hence susceptible to high percentage of errors due to human factor. In order to reduce this percentage error and obtain optimal treatment efficiency, an intelligent coagulant dosing based on Artificial Neural Network (ANN) was proposed. Design of the...
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: International Journal of Design & Nature and Ecodynamics
سال: 2020
ISSN: 1755-7437,1755-7445
DOI: 10.18280/ijdne.150211