Recurrent Neural Network Based Approach for Solving Groundwater Hydrology Problems

Many communities obtain their drinking water from underground sources called aquifers. Official water suppliers or public incorporations drill wells into soil and rock aquifers look‐ ing for groundwater contained there in order to supply the population with drinking water. An aquifer can be defined as a geologic formation that will supply water to a well in enough quantities to make possible the production of water from this formation. The conventional estimation of the exploration flow involves many efforts to understand the relationship be‐ tween the structural and physical parameters. These parameters depend on several factors, such as soil properties and hydrologic and geologic aspects [1].

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