非线性预测方法表征的生态时间序列上的季节性足迹和蛋白质构型动态状态的跃迁

arXiv - PHYS - Adaptation and Self-Organizing Systems Pub Date : 2024-06-19 DOI:arxiv-2406.13811

Leonardo Reyes, Kilver Campos, Douglas Avendaño, Lenin González-Paz, Alejandro Vivas, Ysaías J. Alvarado, Saúl Flores

{"title":"非线性预测方法表征的生态时间序列上的季节性足迹和蛋白质构型动态状态的跃迁","authors":"Leonardo Reyes, Kilver Campos, Douglas Avendaño, Lenin González-Paz, Alejandro Vivas, Ysaías J. Alvarado, Saúl Flores","doi":"arxiv-2406.13811","DOIUrl":null,"url":null,"abstract":"We have analyzed phenology data and jumps in protein configurations with the\nnon-linear forecasting method proposed by May and Sugihara \\cite{MS90}. Full\nplots of prediction quality as a function of dimensionality and forecasting\ntime give fast and valuable information about Complex Systems dynamics.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a non-linear forecasting method characterization\",\"authors\":\"Leonardo Reyes, Kilver Campos, Douglas Avendaño, Lenin González-Paz, Alejandro Vivas, Ysaías J. Alvarado, Saúl Flores\",\"doi\":\"arxiv-2406.13811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have analyzed phenology data and jumps in protein configurations with the\\nnon-linear forecasting method proposed by May and Sugihara \\\\cite{MS90}. Full\\nplots of prediction quality as a function of dimensionality and forecasting\\ntime give fast and valuable information about Complex Systems dynamics.\",\"PeriodicalId\":501305,\"journal\":{\"name\":\"arXiv - PHYS - Adaptation and Self-Organizing Systems\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Adaptation and Self-Organizing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2406.13811\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Adaptation and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.13811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

我们用May和Sugihara提出的非线性预测方法分析了物候数据和蛋白质构型的跃迁。预测质量与维度和预测时间的函数关系全图提供了有关复杂系统动力学的快速而有价值的信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Seasonal footprints on ecological time series and jumps in dynamic states of protein configurations from a non-linear forecasting method characterization

We have analyzed phenology data and jumps in protein configurations with the non-linear forecasting method proposed by May and Sugihara \cite{MS90}. Full plots of prediction quality as a function of dimensionality and forecasting time give fast and valuable information about Complex Systems dynamics.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

arXiv - PHYS - Adaptation and Self-Organizing Systems

自引率

0.00%

发文量