Use of artificial neural networks in agricultural engineering exemplified by the information system for predicting the temperature field in the pebble bed thermal energy storage unit
Nowakowski, K. | Boniecki, P. | Weres, J.(Poznan Agricultural University (Poland). Inst. of Agricultural Engineering)
In order to assess the capacity of a pebble bed heat storage unit, it is necessary to identify temperature values at specified points of the bed structure. As certain technical difficulties were encountered in the measurement process, suggestion was made to employ the predictive methods offered by radial neural network simulation software. Based on research, an IT system has been developed that allows computers to simulate the complex thermo-dynamic process, which otherwise proves very time-consuming
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