Cargando…
Study of Hybrid Neurofuzzy Inference System for Forecasting Flood Event Vulnerability in Indonesia
An experimental investigation was conducted to explore the fundamental difference among the Mamdani fuzzy inference system (FIS), Takagi–Sugeno FIS, and the proposed flood forecasting model, known as hybrid neurofuzzy inference system (HN-FIS). The study aims finding which approach gives the best pe...
Autores principales: | Supatmi, Sri, Hou, Rongtao, Sumitra, Irfan Dwiguna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410442/ https://www.ncbi.nlm.nih.gov/pubmed/30930943 http://dx.doi.org/10.1155/2019/6203510 |
Ejemplares similares
-
Prediction of Missing Flow Records Using Multilayer Perceptron and Coactive Neurofuzzy Inference System
por: Tfwala, Samkele S., et al.
Publicado: (2013) -
Neurofuzzy adaptive modelling and control
por: Brown, Martin C, et al.
Publicado: (1994) -
Health Index Estimation of Wind Power Plant Using Neurofuzzy Modeling
por: Ayub, Shahanaz, et al.
Publicado: (2022) -
Hybrid-Controlled Neurofuzzy Networks Analysis Resulting in Genetic Regulatory Networks Reconstruction
por: Manshaei, Roozbeh, et al.
Publicado: (2012) -
Fuzzy logic and neuroFuzzy applications in business and finance /
por: Von Altrock, Constantin
Publicado: (1997)