A Genetic Algorithm-Based Quasi-Linear Regression Method and Application

Abstract:

Regression analysis, as an important branch of statistics, is an effective tool for scientific prediction. Genetic algorithm is an optimization search algorithm in computational mathematics. In this paper, a new regression model named quasi-linear regression model is established. Further, its implementation method is introduced in detail. Then by taking the population development of Hebei province as an example, we conduct the fitting problem and short-term prediction. Moreover, we compare the fitting effect and the prediction results of two models.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 2700-2705
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.2700
• Online since: August 2013
• Authors: Fa Chao Li, Ke Na Zhang
• Keywords: Genetic Algorithm (GA), Prediction, Quasi-Linear Function, Regression Analysis

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