Neural Network Back-Propagation Method as Forecasting Technique

Abstract Uncontrolled population increase has a direct impact on the development of human resource quality, and rate economic growth is becoming increasingly challenging. It was purpose study to apply artificial intelligence tools examine forecasts active family planning participants. Between 2019 2020, Pematangsiantar’s participants will be counted as part dataset. The dataset gathered through observation interviews. problem solved using an technique with backpropagation algorithm. analysis carried out aid Matlab R2011a. Six other architectural models, including 6-4-1, 6-4-2-1, 6-6-8-1, 6-8-10-1, were evaluated for their suitability. 6-4-2-1 model Backpropagation may used forecast number training accuracy 75% test 88%, according study’s findings. Results are expected shed light necessity availability contraception