An Artificial Neural Net approach to forecast the population of India
Goutami Bandyopadhyay, Surajit Chattopadhyay

TL;DR
This paper develops a non-linear artificial neural network model to forecast India's population, demonstrating high accuracy especially for female population predictions, with results presented graphically.
Contribution
It introduces a neural network approach specifically tailored for population forecasting, highlighting improved performance over traditional methods.
Findings
Model predicts female population more accurately than male population.
Predictions are sufficiently accurate and visually presented.
The approach demonstrates the effectiveness of neural networks in demographic forecasting.
Abstract
Present paper endeavors to forecast the population of India through Artificial Neural Network. A non-linear Artificial Neural Net model has been developed and the prediction has been found to be sufficiently accurate. It has been found that the model is performing more efficiently in predicting female population than the male population. Results have been presented graphically.
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Taxonomy
TopicsAir Quality Monitoring and Forecasting · Forecasting Techniques and Applications · Energy Load and Power Forecasting
