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Projection of Population and Prediction of Food Demand Through Mining and Forecasting Techniques

  • J. Antonita Shilpa
  • V. Bhanumathi
Conference paper
  • 40 Downloads

Abstract

Food, clothing and shelter are the basic needs of man. The most essential among the needs is food. There is always a wide gap between supply and demand because of the changes in food preference. The change in food preference is the major factor in prediction of food demand. The proposed method uses the second-order Taylor series for the projection of population; having the estimated population as input as the food demand based on the change in food requisite is anticipated. The implementation is carried out through Java. The population and food demand of the continental U.S. are projected by the proposed method. The food demand prediction through the proposed method is similar to the actual demand with deviation close to 0.1%.

Keywords

Curve fitting Gaussian function Intelligence continuum Linear approximations Maximum likelihood estimate Relative growth Taylor series 

Abbreviations

A

Actual value

MLE

Maximum likelihood estimate

P

Predicted value

POP

Population

RGC

Relative growth coefficient

US

United States

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • J. Antonita Shilpa
    • 1
  • V. Bhanumathi
    • 1
  1. 1.Anna University Regional CampusCoimbatoreIndia

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