Predicting air pollutant emissions from a medical incinerator using grey model and neural network

Pai, Tzu‐Yi; Wan, Terng-Jou; Chen, Li; Hung, Pei-Shan; Lo, Huang‐Mu; Lai, Wei-Jia; Lee, Hsin‐Yi

doi:10.1016/j.apm.2014.09.017

Cited by 35 publications

(13 citation statements)

References 18 publications

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“…Grey theory, developed originally by Deng [ 43 ], is a multidisciplinary, generic theory that deals with systems characterized by a lack of comprehensive information. Grey theory includes systems analysis, data processing, modeling, prediction, decision-making, and control, and Grey prediction models have been used in many applications [ 44 , 45 , 46 ]. In contrast to statistical methods, the original series in the time series grey model, called the GM (1,1) mode, has greater potency.…”

Section: Resultsmentioning

confidence: 99%

Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

Chen

2017

IJERPH

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In this paper, the overall ecological and environmental sustainability in the Cing-Jing region in Taiwan is examined. As land use and cover change has been found to be an important analysis method, an emergy ecological footprint model was applied and the eco-security assessed to ensure authorities maintain a balance between ecological preservation and tourism development. While the ecological environment in the Cing-Jing region from 2008 to 2014 was found to be within safe levels, all related indices had increased considerably. A Grey model was used to predict the 2015–2024 ecological carrying capacities, from which it was found that there is expected to be a large increase in per capita ecological footprints (EFs), meaning that in the future there is going to be a larger ecological deficit and a higher ecological pressure index (EFI), with the eco-security predicted to reach a Grade 2 intermediate level in 2022. As the Cing-Jing region is predicted to become ecologically unsustainable, local, regional, and national governments need to implement regulations to strictly control the land use in the Cing-Jing region. This study demonstrated that emergy EF (EEF) theory application can give objective guidance to decision-makers to ensure that recreational non-urban eco-security can be maintained at a safe level.

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Section: Resultsmentioning

confidence: 99%

Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

Chen

2017

IJERPH

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“…(n)}, where is the first-order accumulated generating operation of [17]. If and meet the certain test, then can be generally expressed as (2) where the parameter is the developing coefficient which reflects the developing tendencies of and and reflects the variation relationship among data.…”

Section: Methodsmentioning

confidence: 99%

International carbon market price forecasting using an integration model based on SVR

Jiang¹,

Wu²

2015

Proceedings of the 2015 International Conference on Engineering Management, Engineering Education and Information Technology

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Abstract. Better forecast of carbon emission prices may increase risk control capabilities of emission market stakeholders, and provide decision support for policy makers, financial institutions and enterprises. However, the issue of carbon price forecasting is complicated and several existing prediction models are difficult to achieve satisfactory results. This paper proposes an integration model based on SVR to predict international carbon market price. The model we suggest includes two steps: we respectively establish ARIMA, BP neural network, grey model GM(1,1) and genetic programming to fit the original sequence of the carbon price at the first phase, and get four prediction results. Additionally, SVR is used to integrate these four results and eventually obtain prediction result. For verification and testing, EUA (DEC15) carbon price from December 3, 2012 to April 10, 2015 under the EU ETS was used to examine the forecasting ability of the proposed integration model. The result demonstrates the accuracy of integration model proposed in this paper is superior to the other three basic models.

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“…This characteristic promotes the extensive application of the BP neural network. The applications of the BP neural network have shown that it is suitable for the prediction of the fluctuating series and has good effectiveness [17][18][19][20][21][22].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Triangular fuzzy series forecasting based on grey model and neural network

Zeng

Shu

Huang

et al. 2016

Applied Mathematical Modelling

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Predicting air pollutant emissions from a medical incinerator using grey model and neural network

Cited by 35 publications

References 18 publications

Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

Evaluation and Analysis of Eco-Security in Environmentally Sensitive Areas Using an Emergy Ecological Footprint

International carbon market price forecasting using an integration model based on SVR

Triangular fuzzy series forecasting based on grey model and neural network

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