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Feasibility of Simultaneous Application of fuzzy neural Network and TOPSIS Integrated Method in Potential Mapping of Lead and Zinc Mineralization in Isfahan-Khomein Metallogeny Zone

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Open Journal of Geology 2022年第3期12卷 215-233页

作者： Bahareh Hedayat Mohammad Ehsan Ahmadi Hamed Nazerian Aref Shirazi Adel Shirazy Faculty of Mining Petroleum & Geophysics Engineering Shahrood University of Technology Shahrood Iran Department of Mining Engineering Science and Research Branch Islamic Azad University Tehran Iran Faculty of Mining Engineering Amirkabir University of Technology Tehran Iran

Iran is located on a silver, lead, and zinc belt and according to the latest studies holds 11 million tons of lead, zinc, and silver stones which constitute 4 percent of global resources. Considering that mineral materials are explored in an uncertain space, exploration investment risk is an inseparable part of these activities. The important fact is to minimize the effect of this undesired factor in exploration. To achieve this, it is required that exploration activities and withdrawals are performed in a certain framework in which risk minimization is considered. Using mineral potential modelling for determining promising zones which should be taken into consideration in more detailed stages could make achieving the purpose possibly. This work is aimed at applying fuzzy neural network and TOPSIS methods simultaneously in order to explore zinc and lead resources. In this article, geological, telemetry, geophysics, and geochemistry data is integrated using fuzzy-neural network (neuro fuzzy) and using TOPSIS method rating for lead and zinc ore deposit potential mapping in Isfahan-Khomein strip which has been introduced as one of zinc and leads mineral scopes in Iran. This area which is composed of several zinc and lead ore deposits has been considered as the target area. fuzzy integration results of zinc and lead mineralization witness layers confirm the relatively high potential of lead and zinc mineralization in this region having a northwest-southeast trend and involving more than 90 percent of the known indices and ore deposits of the region. In this research, it was shown that the results of TOPSIS-Neuro-fuzzy integrated model (a combination of neural network and fuzzy logic) have increased the resolution of talented areas from the areas with no mineralization potential in comparison with the fuzzy method individually.

关键词： Potential Mapping TOPSIS neural-fuzzy Zinc and Lead Isfahan-Khomein

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Traffic Flow Forecasting Based on fuzzy-neural

Traffic Flow Forecasting Based on Fuzzy-Neural

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第二十六届中国控制会议

作者： Huang Hongqiong 1,Tang Tianhao2 1.College of Information Engineering,Shanghai maritime University,Shanghai 200135,P.R.China 2.College of Logistics Engineering,Shanghai maritime University,Shanghai 200135,P.R.China

fuzzy systems can be excellently used to represent human *** technology is a science where this property of fuzzy logic can be used very well because it is hard to make mathematical models due to human influences and complex connections between input *** paper applies a novel fuzzy Cerebella-Model-Articulation-Controller（FCMAC）into univariate time-series forecasting and investigates its performance in comparison to established techniques such as the Box-Jenkin’s ARIMA *** results from Pudong New Strict in Shanghai traffic flow data reveal that the FCMAC model yielded lower errors for certain data *** conditions under which the FCMAC model emerged superior are ***,we show how neural networks can be used to improve the performance of the system.

关键词： fuzzy logic neural-fuzzy Traffic flow forecasting FCMAC

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