HySOM: A Python library for Self-Organizing Map–based analysis of concentration–discharge hysteresis
Abstract
See the most up-to-date version of this library in the GitHub repository HySOM is a Python library that simplifies the training and visualization of Self-Organizing Maps (SOMs) for 2D time series. It is specifically designed for the study of concentration–discharge (C–Q) hysteresis loops. With HySOM, you can access the General T-Q SOM—a standard framework for classifying sediment transport hysteresis loops. The library also includes several visualization tools to streamline the analysis of sediment transport hysteresis loops. Additionally, HySOM allows you to train your own SOM for C–Q analysis.
Fields of Study & Subjects
Hydrological Forecasting Using AI
Soil erosion and sediment transport
Hydrology and Sediment Transport Processes
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026