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Название исследуемой задачи:Поиск зависимостей биомеханических системах методом CCM
Тип научной работы:M1P
Автор:Латыпов Ильгам Магданович
Научный руководитель:степень, д. ф.м.н. Стрижов Вадим
Научный консультант(при наличии):степень, Эдуард Владимиров

Abstract

When predicting complex time series that depend on exogenous external factors, it is required to solve the problem of identifying related pairs of series. It is also assumed that the addition of these series to the models improves the quality of the predictions. In this work, it is proposed to use the convergent cross-mapping method and differential neural networks to detect relationships between series.

Research publications

  1. Neural Ordinary Differential Equations.
  2. Neural Controlled Differential Equations for Irregular Time Series.

3. Normalizing Flows. Работы Сугихары:

  1. Sugihara, G. et al., 2012. Detecting Causality in Complex Ecosystems. Science, 338(6106), pp.496-500..
  2. CCM ccm-algorithm.
  3. исследование с CCM алгоритмом.
  4. работа Усмановой К.Р.

Датасеты: 1. accelerometry. Presentations at conferences on the topic of research ================================================

Software modules developed as part of the study

  1. A python package mylib with all implementation here.
  2. A code with all experiment visualisation here. Can use colab.