location:Home > 2022 Vol.5 Jun.No2 > Multisource Information Data Fusion Based on Adaptive Least Mean Square Error Algorithm

2022 Vol.5 Jun.No2

  • Title: Multisource Information Data Fusion Based on Adaptive Least Mean Square Error Algorithm
  • Name: Yang Liu
  • Company: College of Computer Science and Technology Inner Mongolia Normal University Huhot 010022,China
  • Abstract:

    In order to solve the problem of low data fusion precision of traditional methods, a multi-source data fusion method based on adaptive least mean square error algorithm is proposed. Firstly, a framework of multi-source information data fusion based on context weights is constructed to realize the initial data fusion. Secondly, the adaptive least mean square error algorithm is used to improve the convergence. Experimental results show that the proposed method has high accuracy.


  • Keyword: adaptive least mean square error algorithm; data fusion; data filtering; context weight
  • DOI: 10.12250/jpciams2022090107
  • Citation form: Yang Liu.Multisource Information Data Fusion Based on Adaptive Least Mean Square Error Algorithm [J]. Computer Informatization and Mechanical System,2022,Vol.5,pp.42-44
Reference:

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[2]Jiang D ,  Guo Y ,  J  Liu, et al. Spatiotemporal Assessment of Water Conservation Function for Ecosystem Service Management Using a GIS-Based Data-Fusion Analysis Framework[J]. Water Resources Management, 2021, 35(13):4309-4323.

[3]Demarchi L ,  Bund W ,  Pistocchi A . Object-Based Ensemble Learning for Pan-European Riverscape Units Mapping Based on Copernicus VHR and EU-DEM Data Fusion[J]. Remote Sensing, 2020, 12(7):1222.

[4]Mo Huiling , Zheng Haifeng, Gao Min, Feng Xinxin . Multi-Source Heterogeneous Data Fusion Based on Federated Learning. Journal of Computer Research and Development, 2022,59(02):478-487.

[5]LI ShuangmingGUAN XinLIU Ao . Heterogeneous data fusion method based on intuitionistic fuzzy discout operator. Systems Engineering and Electronics, 2021,43(02):311-317.


Tsuruta Institute of Medical Information Technology
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