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An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube
Modeling of water flow in carbon nanotubes is still a challenge for the classic models of fluid dynamics. In this investigation, an adaptive-network-based fuzzy inference system (ANFIS) is presented to solve this problem. The proposed ANFIS approach can construct an input–output mapping based on bot...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Springer
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2894119/ https://www.ncbi.nlm.nih.gov/pubmed/20596382 http://dx.doi.org/10.1007/s11671-009-9361-3 |