[PDF][PDF] Evaporative cooler climate prediction using artificial neural network
Journal of Sustainable Research in Engineering, 2020•jsre.jkuat.ac.ke
… The objective of this research was to develop a reliable artificial neural networks model
using data collected in an existing evaporative cooler with the aim of using the predicted data
to control the climate inside the cooler. The predictive model will make it possible for the system
to be adapted in any area whose climate data is available. … This paper shows the use of the
artificial neural network to obtain prediction models for the internal temperature and relative
humidity of the evaporative cooler from climatic conditions in Kenya. From the collected data …
using data collected in an existing evaporative cooler with the aim of using the predicted data
to control the climate inside the cooler. The predictive model will make it possible for the system
to be adapted in any area whose climate data is available. … This paper shows the use of the
artificial neural network to obtain prediction models for the internal temperature and relative
humidity of the evaporative cooler from climatic conditions in Kenya. From the collected data …
Abstract
Fruits and vegetables are highly perishable and need to be stored in a controlled environment in order to elongate their
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