How M5 Model Trees (M5-MT) on Continuous Data Are Used in Rainfall Prediction: An Experimental Evaluation

monthly rainfall prediction using artificial neural networks and m5 model tree (case study: station of ahar)

introduction rainfall is considered as one of the most important factures in water cycle. prediction of monthly rainfall is important for many purposes such as estimating torrent, drought, run-off, sediment, irrigation programming and also management of drainage basins. rainfall prediction in each area is mediated by punctual data measured as humidity, temperature, wind speed and etc. as iran i...

Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river

In flood management it is important to reliably estimate the discharge in a river. Hydrologists use historic data to establish a rating curve – a relationship between the water level (stage) and discharge. ANN and M5 model trees were used to reconstruct this relationship on an example of an Indian river. The predictive accuracy of these machine learning methods models was found to be superior t...

Remarks on the M5-brane

The fivebrane of M theory – the M5-brane – is an especially interesting object. It plays a central role in a geometric understanding of the Seiberg–Witten solution of N=2 D=4 gauge theories as well as in certain new 6d quantum theories. The low energy effective action is an interacting theory of a (2,0) tensor multiplet. The fact that this multiplet contains a two-form gauge field with a self-d...

Neural networks and M5 model trees in modelling water level-discharge relationship

Reliable estimation of discharge in a river is the crucial component of efficient flood management and surface water planning. Hydrologists use historical data to establish a relationship between water level and discharge, which is known as a rating curve. Once a relationship is established it can be used for predicting discharge from future measurements of water level only. Successful applicat...

SPARC M5-32 Server Architecture