|Table of Contents|

Research on Quadratic Integration Prediction Algorithm of Neural Network(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2022年02期
Page:
136-141
Research Field:
·计算机科学与技术·
Publishing date:

Info

Title:
Research on Quadratic Integration Prediction Algorithm of Neural Network
Author(s):
Gu Haiyan1; Cao Lin2; Zhu Tao1; Yuan Ming1
(1.Jiangsu Police Institute,Nanjing 210031,China)(2.PLA 66072 Troops,Beijing 100144,China)
Keywords:
two-level neural network ensemble; quantum particle swarm optimization algorithm; quantum immune algorithm; data forecasting
PACS:
TP18
DOI:
10.3969/j.issn.1001-4616.2022.02.017
Abstract:
The common prediction algorithms of data mining have the defect of insufficient generalization ability,so this paper proposes an optimization algorithm based on two-level neural network ensemble(NNE2-QQ). The first ensemble uses quantum particle swarm optimization algorithm to select individuals,the second ensemble uses quantum immune algorithm to optimize the result,and then the best ability of the ensemble model is obtained by finding the best selection and weights through multiple iterations. Finally,simulation results demonstrate the practicality and efficiency of NNE2-QQ algorithm. NNE2-QQ can find the relationship between various factors and their laws from massive data,and provide support for prediction and judgment.

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