Delay Differential Analysis
A mathematical framework for time series classification that employs delay differential equations to analyze temporal patterns and dynamics. This approach enables researchers to identify complex relationships in time-dependent data through rigorous mathematical modeling.
-
Time Series Classification
- Classification algorithms that incorporate delay differential equation theory for analyzing temporal data structures and patterns.
-
Mathematical Framework
- Theoretical foundation based on delay differential equations and dynamical systems theory for temporal data analysis.
-
Research Applications
- Academic and research applications in time series analysis, with implementations for studying delay differential systems.
-
Implementation Tools
- DDALAB provides computational tools and graphical interfaces for implementing delay differential analysis methods.