Prediction of biogas production rate from anaerobic hybrid reactor by artificial neural network and nonlinear regressions models
出版年份 2020 全文链接
标题
Prediction of biogas production rate from anaerobic hybrid reactor by artificial neural network and nonlinear regressions models
作者
关键词
-
出版物
Clean Technologies and Environmental Policy
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-01-31
DOI
10.1007/s10098-020-01816-z
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Efficient azo dye wastewater treatment in a hybrid anaerobic reactor with a built-in integrated bioelectrochemical system and an aerobic biofilm reactor: Evaluation of the combined forms and reflux ratio
- (2019) Min-Hua Cui et al. BIORESOURCE TECHNOLOGY
- Development of denitrifying phosphate accumulating and anammox micro-organisms in anaerobic hybrid reactor for removal of nutrients from low strength domestic sewage
- (2018) Ashish Sengar et al. BIORESOURCE TECHNOLOGY
- Artificial neural network model to predict behavior of biogas production curve from mixed lignocellulosic co-substrates
- (2018) Manjula Das Ghatak et al. FUEL
- Adaptive neural-fuzzy inference system vs. anaerobic digestion model No.1 for performance prediction of thermophilic anaerobic digestion of palm oil mill effluent
- (2018) Hui Min Tan et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Thermophilic anaerobic digestion of pre-treated orange peel: Modelling of methane production
- (2018) M.A. Martín et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Application of ANFIS, ANN, and logistic methods in estimating biogas production from spent mushroom compost (SMC)
- (2018) Bahman Najafi et al. RESOURCES CONSERVATION AND RECYCLING
- Evaluation of artificial neural network models for online monitoring of alkalinity in anaerobic co-digestion system
- (2018) Xuemei Wang et al. BIOCHEMICAL ENGINEERING JOURNAL
- Artificial neural network based modeling to evaluate methane yield from biogas in a laboratory-scale anaerobic bioreactor
- (2016) Vijay V. Nair et al. BIORESOURCE TECHNOLOGY
- Artificial neural network prediction of the biogas flow rate optimised with an ant colony algorithm
- (2016) Tetyana Beltramo et al. BIOSYSTEMS ENGINEERING
- Effects of co-substrate on biogas production from cattle manure: a review
- (2016) F. Tufaner et al. International Journal of Environmental Science and Technology
- An integrated prediction and optimization model of biogas production system at a wastewater treatment facility
- (2015) Halil Akbaş et al. BIORESOURCE TECHNOLOGY
- Artificial neural network model for predicting methane percentage in biogas recovered from a landfill upon injection of liquid organic waste
- (2014) Shishir Kumar Behera et al. Clean Technologies and Environmental Policy
- Performance evaluation of anaerobic hybrid reactors with different packing media for treating wastewater of mild alkali treated rice straw in ethanol fermentation process
- (2013) Madhuri Narra et al. BIORESOURCE TECHNOLOGY
- Modeling the dioxin emission of a municipal solid waste incinerator using neural networks
- (2013) Sond Bunsan et al. CHEMOSPHERE
- Pilot-scale treatment of a trichloethylene rich synthetic wastewater in anaerobic hybrid reactor, with morphological study of the sludge granules
- (2013) Shibam Mitra et al. Clean Technologies and Environmental Policy
- Development of Ann-Based Models to Predict Biogas and Methane Productions in Anaerobic Treatment of Molasses Wastewater
- (2012) Kaan Yetilmezsoy et al. International Journal of Green Energy
- Application of ANFIS to predict crop yield based on different energy inputs
- (2012) Leila Naderloo et al. MEASUREMENT
- Modeling and optimization of biogas production from a waste digester using artificial neural network and genetic algorithm
- (2009) H. Abu Qdais et al. RESOURCES CONSERVATION AND RECYCLING
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