SOLID WASTE GENERATION PREDICTING BY HYBRID OF ARTIFICIAL NEURAL NETWORK AND WAVELET TRANSFORM

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NOURI ROUH ELAH; ABDOLI M.A.; FAROKHNIA ASHKAN; GHAEMI ALALEH

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Journal: Journal of Environmental Studies Year:2009 | Volume:35 | Issue:49 Page(s): 25-30

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Title

SOLID WASTE GENERATION PREDICTING BY HYBRID OF ARTIFICIAL NEURAL NETWORK AND WAVELET TRANSFORM

Author(s)

NOURI ROUH ELAH | ABDOLI M.A. | FAROKHNIA ASHKAN | GHAEMI ALALEH | Issue Writer Certificate

Keywords

WEEKLY GENERATION PREDICTINGQ3

ARTIFICIAL NEURAL NETWORKQ1

WAVELET NEURAL NETWORKQ2

TEHRANQ3

Abstract

Quantitative prediction of municipal solid waste generation plays an important role in the optimization and programming of municipal solid waste management system. Being aware of generation quantity can be very effective for estimating the amount of investigation in the field of machinery, onsite storage containers, transition stations, disposal capacity and proper organization. There are different ways to estimate the waste generation (WG) rates. The most prominent of these methods are load-count analysis, weight-volume analysis, materials-balance analysis and effective methods such as regression techniques and ARTIFICIAL NEURAL NETWORK (ANN) models. Using ANN models in solid waste management systems was reported successfully, because of the high ability of ANN in nonlinear and dynamic problems modeling .However, ANN models may not be able to cope with non-stationary data if preprocessing of the input and/or output data is not performed. One of the very suitable methods for preprocessing of the input and/or output data is wavelet transforms (WT). Recently in the other environmental problems like air pollution, surface water quality, the hybrid model of WT and ANN (WNN model) have been used. The results of these researches have shown the high performance of ANN model.

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APA: Copy

NOURI, ROUH ELAH, ABDOLI, M.A., FAROKHNIA, ASHKAN, & GHAEMI, ALALEH. (2009). SOLID WASTE GENERATION PREDICTING BY HYBRID OF ARTIFICIAL NEURAL NETWORK AND WAVELET TRANSFORM. JOURNAL OF ENVIRONMENTAL STUDIES, 35(49), 25-30. SID. https://sid.ir/paper/3334/en

Vancouver: Copy

NOURI ROUH ELAH, ABDOLI M.A., FAROKHNIA ASHKAN, GHAEMI ALALEH. SOLID WASTE GENERATION PREDICTING BY HYBRID OF ARTIFICIAL NEURAL NETWORK AND WAVELET TRANSFORM. JOURNAL OF ENVIRONMENTAL STUDIES[Internet]. 2009;35(49):25-30. Available from: https://sid.ir/paper/3334/en

IEEE: Copy

ROUH ELAH NOURI, M.A. ABDOLI, ASHKAN FAROKHNIA, and ALALEH GHAEMI, “SOLID WASTE GENERATION PREDICTING BY HYBRID OF ARTIFICIAL NEURAL NETWORK AND WAVELET TRANSFORM,” JOURNAL OF ENVIRONMENTAL STUDIES, vol. 35, no. 49, pp. 25–30, 2009, [Online]. Available: https://sid.ir/paper/3334/en

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