Comparative analysis on the application of neuro-fuzzy models for complex engineered systems: Case study from a landfill and a boiler

Author:

Meher Saroj K.1,Behera Shishir K.2ORCID,Rene Eldon R.3,Park Hung-Suck4

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

Funder

KICOX

Korean Ministry of Land, Transport and Maritime Affairs

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference34 articles.

1. Combining fuzzy logic and neural networks in modeling landfill gas production;Abdallah;World Academy of Science, Engineering and Technology,2011

2. Artificial neural network model for predicting methane percentage in biogas recovered from a landfill upon injection of liquid organic waste;Behera;Clean Technology and Environment Policy,2014

3. Methane production from food waste leachate in laboratory-scale simulated landfill;Behera;Waste Management,2010

4. Performance prediction of a RPF-fired boiler using artificial neural networks;Behera;International Journal of Energy Research,2013

5. Neural network modeling of sorption of pharmaceuticals in engineered floodplain filtration system;Behera;Expert Systems with Applications,2011

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