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Optimization Forecasting using Back-Propagation Algorithm
2021
Istrazivanja i projektovanja za privredu
The purpose of this study was to evaluate the back-propagation model by optimizing the parameters for the prediction of broiler chicken populations by provinces in Indonesia. Parameter optimization is changing the learning rate (lr) of the backpropagation prediction model. Data sourced from the Directorate General of Animal Husbandry and Animal Health processed by the Central Statistics Agency (BPS). Data is the population of Broiler Chickens from 2017 to 2019 (34 records). The analysis process
doi:10.5937/jaes0-30175
fatcat:2z6kdk2yibdrzemn6fhx3bjp5q