Summary The use of Artificial Intelligence (AI) has increased since the middle of the 20th
century as seen in its application in a wide range of engineering and science problems. The …

Over the past 15 years, artificial neural networks (ANNs) have been used increasingly for
prediction and forecasting in water resources and environmental engineering. However …

Of growing amount of food waste, the integrated food waste and waste water treatment was
regarded as one of the efficient modeling method. However, the load of food waste to the …

Artificial neural network (ANN) model involves computations and mathematics, which
simulate the human–brain processes. Many of the recently achieved advancements are …

Improving forecasting techniques for streamflow time series is of extreme importance for
water resource planning. Among the available techniques, those based on machine …

Accurate and reliable mid-to long-term streamflow prediction is essential for water resources
management. However, streamflow series exhibits strong non-stationary and non-linear; …

Approximately most of rainfall-runoff models have a good performance, especially where
rainfall and obtained runoff data are near to average in standard normal distribution. While …

Published relationships typically consider liquid critical-flow rate through wellhead chokes of
producing oil wells as functions of wellhead pressure, choke size and gas-liquid ratio. Such …

This paper discusses the use of artificial neural network (ANN) models for predicting daily
flows from Khosrow Shirin watershed located in the northwest part of Fars province in Iran. A …

Streamflow forecasting and predicting are significant concern for several applications of
water resources and management including flood management, determination of river water …