Dissolved oxygen prediction using a possibility theory based fuzzy neural network
نویسندگان
چکیده
منابع مشابه
Dissolved oxygen prediction using a possibility-theory based fuzzy neural network
Introduction Conclusions References
متن کاملPrediction of dissolved oxygen in reservoirs using adaptive network-based fuzzy inference system
Predicting water quality is the key factor in the water quality management of reservoirs. Since a large number of factors affect the water quality, traditional data processing methods are no longer good enough for solving the problem. The dissolved oxygen (DO) level is a measure of the health of the aquatic system and its prediction is very important. DO dynamics are highly nonlinear and artifi...
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Activated sludge wastewater treatment processes (WWTPs) are difficult to control because of their complexnonlinearbehavior. In thispaper, anadaptive controllerbasedonadynamic structureneuralnetwork (ACDSNN) is proposed to control the dissolved oxygen (DO) concentration in a wastewater treatment process (WWTP). The proposed ACDSNN incorporates a structure variable feedforward neural network (FNN...
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Abstract. Hyriopsis Cumingii is Chinese major fresh water pearl mussel, widely distributed in the southern provinces of China's large and medium-sized freshwater lakes. In the management of Hyriopsis Cumingii ponds, dissolved oxygen (DO) is the key point to measure, predict and control. In this study, we analyzes the important factors for predicting dissolved oxygen of Hyriopsis Cumingii ponds...
متن کاملDissolved Oxygen Control in Activated Sludge Process Using a Neural Network-Based Adaptive PID Algorithm
The concentration of dissolved oxygen (DO) in the aeration tank(s) of an activated sludge system is one of the most important process control parameters. The DO concentration in the aeration tank(s) is maintained at a desired level by using a Proportional-Integral-Derivative (PID) controller. Since the traditional PID parameter adjustment is not adaptive, the unknown disturbances make it diffic...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2016
ISSN: 1607-7938
DOI: 10.5194/hess-20-2267-2016