Advances in Airborne Pollution Forecasting Using Soft Computing Techniques
None
Guardado en:
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2011
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/16144 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Advances in Airborne Pollution Forecasting Using Soft Computing Techniques
- Greenhouse Fuzzy and Neuro-Fuzzy Modeling Techniques
- A Transformer-Based Architecture for Airborne Particles Forecasting: Case Study – PM2.5 in Mexico City
- Perspective Chapter: Airborne Pollution (PM2.5) Forecasting Using Long Short-Term Memory Deep Recurrent Neural Network Optimized by Gaussian Process
- Three Dimensional Reconstruction Strategies Using a Profilometrical Approach based on Fourier Transform
- Review of Measures to Control Airborne Pollutants in Broiler Housing
- Dynamic Behavior of a Pneumatic Manipulator with Two Degrees of Freedom