application of artificial neural network and genetic algorithm to modelling the groundwater inflow to an advancing open pit mine

نویسندگان

s. bahrami

f. doulati ardejani

چکیده

in this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. novel hybrid method coupling artificial neural network (ann) with genetic algorithm (ga) called ann-ga, was utilised. ratios of pit depth to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the hydraulic head (hh) in the observation wells to the distance of observation wells from the centre of pit were used as inputs to the network. an ann-ga with 4-5-3-1 arrangement was found capable to predict the groundwater inflow to mine pit. the accuracy and reliability of model was verified by field data. predicted results were very close to the field data. the correlation coefficient (r) value was 0.998 for training set, and in testing stage it was 0.99.

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عنوان ژورنال:
journal of mining and environment

ناشر: university of shahrood

ISSN 2251-8592

دوره 6

شماره 1 2014

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