Energy Content Modelling for Municipal Solid Waste Using Adaptive Neuro-Fuzzy Inference System (ANFIS)-Reference-Cited by-同舟云学术

Energy Content Modelling for Municipal Solid Waste Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

Published:2020 Issue: Volume: Page:177-185
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
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Author:

Adeleke Oluwatobi,Akinlabi Stephen A.,Adedeji Paul A.,Jen Tien-Chien

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-5753-8_17

Reference20 articles.

1. Department of Environmental Affairs (DEA) (2012) National Waste Information Baseline Report

2. Bhailall S (2015) Landfills gas emissions and the associated air quality, energy and climate change implications in South Africa. PhD Dissertation, University of the witwatersrand.

3. Estiati I, Freire FB, Freire JT, Aguado R, Olazar M (2016) Fitting performance of artificial neural networks and empirical correlations to estimate higher heating values of biomass. Fuel 180:377–383

4. ÖzyuǧUran A, Yaman S (2017) Prediction of calorific value of biomass from proximate analysis. Energy Procedia 107:130–136

5. Sheng C and Azevedo JLTÃ (2005) Estimating the higher heating value of biomass fuels from basic analysis data. Biomass Bioenergy 28:499–507

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