Cargando…
Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources
The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the strengths of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) into a single framework. By doing so, it allows for quicker learning and adaptable interpretation capabilities, which are useful for modeling complex patterns and i...
Autores principales: | Jafarzade, Naghmeh, Kisi, Ozgur, Yousefi, Mahmood, Baziar, Mansour, Oskoei, Vahide, Marufi, Nilufar, Mohammadi, Ali Akbar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382293/ https://www.ncbi.nlm.nih.gov/pubmed/37520981 http://dx.doi.org/10.1016/j.heliyon.2023.e18415 |
Ejemplares similares
-
Spatial modeling of long-term air temperatures for sustainability: evolutionary fuzzy approach and neuro-fuzzy methods
por: Sadeghi-Niaraki, Abolghasem, et al.
Publicado: (2020) -
Multivariate Spatial Condition Mapping Using Subtractive Fuzzy Cluster Means
por: Sabit, Hakilo, et al.
Publicado: (2014) -
Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network
por: Chen, Zhijia, et al.
Publicado: (2015) -
Subtractive Fuzzy Classifier Based Driver Distraction Levels Classification
Using EEG
por: Wali, Mousa Kadhim, et al.
Publicado: (2013) -
Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
por: Adnan, Rana Muhammad, et al.
Publicado: (2023)