Method and system for classifying data based on improved fruit fly optimization algorithm

Abstract

The embodiment of the invention discloses a method and a system for classifying data based on an improved fruit fly optimization algorithm. The method comprises the following steps: (1) preprocessingacquired historical data; (2) taking the preprocessed historical data as a training sample, and optimizing parameters (penalty coefficient and kernel width) of a prediction model (support vector machine) by using a new improved fruit fly optimization algorithm; (3) constructing a prediction model according to parameters obtained by algorithm optimization; and (4) classifying the to-be-tested databy adopting the newly constructed prediction model. By implementing the method, the problems of falling into a local optimal solution, insufficient convergence precision and the like of a drosophila melanogaster optimization algorithm can be solved, the problems in the specific field are classified and predicted, and the decision precision of a prediction model is improved.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a method and system for classifying data based on an improved fruit fly optimization algorithm. Background technique [0002] With the development of technology, the field of big data application is becoming wider and wider, so new challenges are raised for the classification and prediction of big data, especially the swarm intelligence optimization algorithm is used in the classification and prediction of big data. [0003] As we all know, the swarm intelligence optimization algorithm simulates the swarm intelligence behavior of various biological and non-living systems in nature, and uses the mutual cooperation and communication between individuals in the group to achieve the purpose of optimization. These swarm intelligence algorithms are more famous: ant colony algorithm, particle swarm algorithm, artificial bee colony algorithm, etc. [0004] Pan et al. proposed the Fruit ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a method and system for classifying data based on the improved fruit fly optimization algorithm, which can solve the problems of the fruit fly optimization algorithm falling into local optimal solutions and slow convergence speed, and realize problems in specific fields. Classify and predict to improve the accuracy of decision-making

Images