Analyses and investigations on river flow behavior are major issues in design, operation and studies related to water engineering. Thus, recently the application of chaos theory and new techniques, such as chaos theory, has been considered in hydrology and water resources due to relevant innovations and ability. This paper compares the performance of chaos theory with Anfis model and discusses ...

OBJECTIVES Influence of meteorological variables on the transmission of bacillary dysentery (BD) is under investigated topic and effective forecasting models as public health tool are lacking. This paper aimed to quantify the relationship between meteorological variables and BD cases in Beijing and to establish an effective forecasting model. METHODS A time series analysis was conducted in th...

The accurate traffic flow time series prediction is the prerequisite for achieving traffic flow inducible system. Aiming at the issue about multi-step prediction traffic flow chaotic time series, the traffic flow Volterra Neural Network (VNN) rapid learning algorithm is proposed. Combing with the chaos theory and the Volterra functional analysis, method of the truncation order and the truncatio...

Recent advances in optimizing watershed model calibration have focused mainly on incorporating multiple objective measures of model performance and improving optimization algorithms. However, some parameters vary widely among different calibration locations. We present a watershed model calibration method that combines multi-objective optimization with averaging across multiple calibration site...

Seasonal rainfall in many regions is influenced by global climatic parameters such as El Nino Southern Oscillation (ENSO), La Nina. Seasonal rainfall predictions are based on such Global climatic parameters. However, for operational purposes, such as reservoir operation or river basin management in a larger context, rainfall data at a finer time interval are required. In this paper, a temporal ...

The forecasting of monthly electricity sales is a fundamental job for the marketing department of State Grid Corporation of China. In this paper, we propose a novel electricity sales forecasting method. Firstly, with the visual clustering algorithm, 27 provincial electric power companies of State Grid Corporation of China are clustered into different groups according to their historical monthly...

abstract given the importance of environmental cycles had led to allocation of water-right for water species and ecosystems which is known as environmental flow or in stream flow. from among the various methods for estimating environmental flow, building block approach is considered as a very powerful tool for estimating the water needs. in this paper, beside simplifying the building block appr...