JOURNAL ARTICLE

State estimation of Julia sets of noise-disturbed Phytoplankton–Zooplankton model.

  • Published In: International Journal of Modern Physics C: Computational Physics & Physical Computation, 2026, v. 37, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Meng, Xin; Zhang, Yongping; Tian, Dadong 3 of 3

Abstract

Mathematical models about changes of plankton populations can help study trendence in marine ecosystems. Random noise is common in marine ecosystems, arising from internal dynamics or external environmental factors. To study the dynamic characteristics of oceanic systems more accurately, the state estimation of the phytoplankton–zooplankton model (PZ model's) Julia sets affected by additive noise and multiplicative noise is performed to mitigate its effects. The study focuses on two state estimation methods: filtering and prediction, drawing inspiration from particle filtering and moving average principles. The final image analysis demonstrates that both methods effectively reduce noise interference. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modern Physics C: Computational Physics & Physical Computation. 2026/01, Vol. 37, Issue 1, p1
  • Document Type:Article
  • Subject Area:Biology
  • Publication Date:2026
  • ISSN:0129-1831
  • DOI:10.1142/S0129183125500482
  • Accession Number:189392086
  • Copyright Statement:Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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