Comparative analysis on the application of neuro‐fuzzy models for complex engineered systems: Case study from a landfill and a boiler |
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| Authors: | Saroj K Meher Shishir K Behera Eldon R Rene Hung‐Suck Park |
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| Affiliation: | 1. Systems Science and Informatics Unit, Indian Statistical Institute, Bangalore, India;2. Department of Chemical Engineering, GMR Institute of Technology, Rajam, Srikakulam District,, Andhra Pradesh, India;3. Department of Environmental Engineering and Water Technology, UNESCO‐IHE Institute of Water Education, Delft, The Netherlands;4. Center for Clean Technology and Resource Recycling, University of Ulsan, Ulsan, South Korea |
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| Abstract: | This work aims at developing an explicit neuro‐fuzzy (NF) model to characterize complex engineered systems associated with high nonlinearity, uncertainties, and multivariable couplings. The NF model synergistically exploits the advantages of fuzzy belongingness of each input variable to all output variables and learning ability of neural networks. Owing to the inherent complexities associated with 2 complex engineered systems, a landfill and a boiler were selected to develop models that provide intelligent decisions for optimizing the operational parameters. Data compiled from field‐scale investigation/real plant operation involving various operating scenarios were used to develop the models. Predicting capability of the developed models was evaluated through the correlation coefficient and mean absolute percentage error values. Superiority of the proposed NF model to other similar models has been justified and demonstrated. |
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| Keywords: | boiler fuzzy logic landfill neural networks neuro‐fuzzy performance prediction |
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