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The gray prediction method (grey model) is a system containing uncertainty method for prediction. This article describes the typical gray prediction model GM (1,1), the Yangtze River water traffic accidents according to statistics using GM (1,1) model to predict the amount of water accidents, to verify the accuracy of forecasting methods, and to forecast future traffic volume.
Cellular automata(CA) have been increasingly used to simulate complex land use systems. Empirical data can be used to calibrate cellular automata models. Thus, realistic urban patterns can be generated. Traditionally, artificial neurology network(ANN) was used to calibrate cellular automata models. As artificial neurology network easily fall into local minimum value, the genetic algorithms neurology...
Standing the perspective of data mining and using the basic principles of artificial neural network to establish a average extreme rainfall prediction model which is based on BP neural netwok.This model only use the extreme precipitation indexes as the factors to predict the average extreme rainfall in the coming year.The model combined with stepwise regression to select input vectors and used bayesian...
The aim of this project is to develop a river water pollution predictor. We present an improved Grey-based prediction algorithm to forecast the trend of the river water pollution. We adopted grey prediction as a forecasting means because of its fast calculation with as few as four data inputs needed. However, our preliminary study shows that the general Grey model, GM (1, 1) is inadequate to handle...
River temperature prediction is an important project in the environmental impact assessments. Based on river temperature data of Yichang hydrological station in the middle reach of the Yangtze River, BP neural network model based on particle swarm optimization (PSO) was applied to predict river temperature of the Yangtze River. PSO was used to optimize the initial weights of nodes in BP neural network...
Poyang Lake is China's largest freshwater lake. It has good regulation role to Yangtze River. After the running of Three Georges Project, it influences the water level of Poyang Lake a lot. This paper predicts Poyang Lake's water level, it is the basic of influence research. Once there were many predicting methods, such as ANN, etc. But these methods are not very precisely. This paper uses wavelet...
Poyang Lake is China's largest freshwater lake. It has good regulation role to Yangtze River. After the running of Three Georges Project, it influences the water level of Poyang Lake a lot. This paper predicts Poyang Lakepsilas water level, it is the basic of influence research. Once there were many predicting methods, such as ANN, etc. But these methods are not very precisely. This paper uses wavelet...
In this paper, a neural network medium-long term hydrological forecasting model coupling LM algorithm with self-adaptive algorithm is established in combining statistical analysis with fuzzy analysis, choosing predictors such as rainfall and atmospheric circulation in previous stage that affect the monthly discharge at the Yichang Station of the Yangtze River, comparing the advantage and disadvantage...
A fuzzy model of pattern recognition was established in combining cause-and-effect and statistical analysis with fuzzy analysis, choosing predictors such as rainfall and atmospheric circulation in previous stage which effect the annual maximum peak discharge at Yichang Station of the Yangtze River, giving different weightings to the forecast factors, and making a yearly prediction of annual maximum...
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