Research on POI quality prediction based on KPCA-GA-BP neural network

At present, in network optimization, network quality evaluation and prediction are generally based on communities, and a flexible evaluation system for POI network quality was proposed following the research idea of “research on dimensionality increase and implementation of dimensionality reduction”...

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Main Authors: Lu LIU, Dan YANG, Ruijie CHEN, Jia LI, Xi ZHOU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2023-01-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023004/
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author Lu LIU
Dan YANG
Ruijie CHEN
Jia LI
Xi ZHOU
author_facet Lu LIU
Dan YANG
Ruijie CHEN
Jia LI
Xi ZHOU
author_sort Lu LIU
collection DOAJ
description At present, in network optimization, network quality evaluation and prediction are generally based on communities, and a flexible evaluation system for POI network quality was proposed following the research idea of “research on dimensionality increase and implementation of dimensionality reduction”.However, it involves many network KPI, resulting in a relatively complex evaluation system for POI network comprehensive quality and low prediction accuracy.In order to improve the prediction accuracy of POI network quality, KPCA was used to compress the correlation of input variables of BP neural network, the structure of BP neural network was simplified, and then the connection weights and threshold parameters of BP neural network were optimized through GA.Compared with the prediction results of traditional BP neural network, the prediction accuracy is improved by 10.9%, and the mean square error performance is significantly reduced, it can play a better supporting role in the prediction of POI network quality.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2023-01-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-66b889da2704419d9eafeb8284738c332025-01-15T02:59:13ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-01-013910811659571710Research on POI quality prediction based on KPCA-GA-BP neural networkLu LIUDan YANGRuijie CHENJia LIXi ZHOUAt present, in network optimization, network quality evaluation and prediction are generally based on communities, and a flexible evaluation system for POI network quality was proposed following the research idea of “research on dimensionality increase and implementation of dimensionality reduction”.However, it involves many network KPI, resulting in a relatively complex evaluation system for POI network comprehensive quality and low prediction accuracy.In order to improve the prediction accuracy of POI network quality, KPCA was used to compress the correlation of input variables of BP neural network, the structure of BP neural network was simplified, and then the connection weights and threshold parameters of BP neural network were optimized through GA.Compared with the prediction results of traditional BP neural network, the prediction accuracy is improved by 10.9%, and the mean square error performance is significantly reduced, it can play a better supporting role in the prediction of POI network quality.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023004/POI flexibility evaluation systemkernel principal component analysisgenetic algorithmBP neural networkPOI quality prediction
spellingShingle Lu LIU
Dan YANG
Ruijie CHEN
Jia LI
Xi ZHOU
Research on POI quality prediction based on KPCA-GA-BP neural network
Dianxin kexue
POI flexibility evaluation system
kernel principal component analysis
genetic algorithm
BP neural network
POI quality prediction
title Research on POI quality prediction based on KPCA-GA-BP neural network
title_full Research on POI quality prediction based on KPCA-GA-BP neural network
title_fullStr Research on POI quality prediction based on KPCA-GA-BP neural network
title_full_unstemmed Research on POI quality prediction based on KPCA-GA-BP neural network
title_short Research on POI quality prediction based on KPCA-GA-BP neural network
title_sort research on poi quality prediction based on kpca ga bp neural network
topic POI flexibility evaluation system
kernel principal component analysis
genetic algorithm
BP neural network
POI quality prediction
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023004/
work_keys_str_mv AT luliu researchonpoiqualitypredictionbasedonkpcagabpneuralnetwork
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AT ruijiechen researchonpoiqualitypredictionbasedonkpcagabpneuralnetwork
AT jiali researchonpoiqualitypredictionbasedonkpcagabpneuralnetwork
AT xizhou researchonpoiqualitypredictionbasedonkpcagabpneuralnetwork