Fuzzy Neural Network Based Analysis of the Process of Oil Product Sorption with Foam Polystyrene
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 9
Abstract
A set of series of neural network models was applied to the field of chemistry. In this paper a fuzzy neural network is used for analysis of the process of oil product sorption with foam polystyrene. Knowledgebase is extracted from data by using sub clustering method. Knowledgebase is realized in environment Matlab. Obtained results have demonstrated efficiency of the proposed method and its advantages as compared to the existing empirical knowledge . Experimental investigations show the validity and applicability of the suggested model and reasoning system.
Authors and Affiliations
Latafat Gardashova, Yunis Gahramanli, Mehseti Babanli
Keywords
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- EP ID EP392440
- DOI 10.9790/9622-0709078590.
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