Van der Pol-informed Neural Networks for Multi-step-ahead Forecasting of Extreme Climatic Events
Deep learning has produced excellent results in several applied domains including computer vision, natural language processing, speech recognition, etc. Physics-informed neural networks (PINN) are a new family of deep learning models that combine prior knowledge of physics in the form of high-level...
محفوظ في:
| المؤلف الرئيسي: | Dutta, Anurag (author) |
|---|---|
| مؤلفون آخرون: | Panja, Madhurima (author), Kumar, Uttam (author), Hens, Chittaranjan (author), Chakraborty, Tanujit (author) |
| منشور في: |
2023
|
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1462 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions
حسب: Dao H. Vu (19517236)
منشور في: (2022) -
Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events
حسب: Ray, Arnob
منشور في: (2021) -
A Complex Intrachromosomal Rearrangement Disrupting <i>IRF6 </i>in a Family with Popliteal Pterygium and Van der Woude Syndromes
حسب: Alya A. Al-Kurbi (18324927)
منشور في: (2023) -
Effect of Climate Change and Extreme Weather Events on the Thermal Conditions of Canadian Multi-unit Residential Buildings
حسب: Mutasim Baba, Fuad
منشور في: (2019) -
Electric Buses in Hot Climates: Challenges, Technologies, and the Road Ahead
حسب: Rafah A. Alarrouqi (19198033)
منشور في: (2024)