Heavy rainfall prediction is a major problem for meteorological department as it is closely
associated with the economy and life of human. It is a cause for natural disasters like flood …

An accurate rainfall forecasting is very important for agriculture dependent countries like
India. For analyzing the crop productivity, use of water resources and pre-planning of water …

Rain is an essential part of our ecosystem and is responsible for most of the fresh water on
the earth. Rainfall is a stochastic process that depends on temperature, humidity, wind, and …

Back propagation is most widely used in neural network projects because it is easy to train
and for its accuracy. Back propagation learning algorithm consists of two facets, the first one …

Back propagation is most widely used in neural network projects because it is easy to train
and for its accuracy. Back propagation learning algorithm consists of two facets, the first one …

Use of rain as a source of irrigation water presents an effective use of natural water
resources. Predicting the occurrence of rainfall plays a major role especially in an …

Climate change is a global phenomenon that also causes small-scale effects. This study
aims to determine future climate changes in the Mandalika International Circuit area using …

This study proposes a hybrid grey model for forecasting annual maximum daily rainfall in
order to determine long-term hydrological system trends. The proposed model uses an …

Rainfall is the key parameter in cultivation and climatic elements, which decides the
production of the crop and also a significant parameter for farmers. This paper discuss the …

Due to irregularities in rainfall, many areas in our country suffer from droughts and floods,
depending on surplus or less rain. Consequently, we need an algorithm that can analyze …