Journal article
Development of ANFIS models for polycyclic aromatic hydrocarbons (PAHs) formation in sea sediment
Petroleum Science and Technology, Vol.37(6), pp.679-686
19/03/2019
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Source: InCites
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are Canceriogenic and mutagenic substances. These compounds are released in the environment by anthropogenic and natural sources. In this work, an adaptive neuro-fuzzy inference system (ANFIS) was employed to model the PAHs formation in sea sediment. Development of ANFIS model is on the basis of the Gaussian membership function. The result obtained by ANFIS model was analyzed with the statistical parameters such as mean squared error (MSE), mean absolute error percent (MEAEP), maximum absolute error percent (MAAEP) and R2. The prediction capability of ANFIS model was compared with the previous developed models. According to results obtained by statistical parameters, the ANFIS model has the best performance in estimating of PAHs with the lowest error values.
Details
- Title
- Development of ANFIS models for polycyclic aromatic hydrocarbons (PAHs) formation in sea sediment
- Creators
- Javad Sayyad Amin - University of GuilanHossein Rajabi Kuyakhi - University of GuilanTomoaki Kashiwao - Kindai UniversityAlireza Bahadori - Southern Cross University
- Publication Details
- Petroleum Science and Technology, Vol.37(6), pp.679-686
- Publisher
- Taylor & Francis Inc.
- Identifiers
- 991012927095702368
- Copyright
- © 2019 Taylor & Francis Group, LLC
- Academic Unit
- National Centre for Flood Research; School of Environment, Science and Engineering; Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article