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A OPTIMIZATION TUNED ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR DAM DEFORMATION PREDICTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The performance and stability of Adaptive Neuro-Fuzzy Inference System (ANFIS) depend on its network structure and preset parameter selection, and Particle Swarm Optimization-ANFIS (PSO-ANFIS) easily falls into the local optimum and is imprecise. A novel
X. Y. Zhang, X. Y. Zhang, B. Wei, B. Wei
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Energy Reports, 2021 Accurate solar radiation (SR) prediction is one of the essential prerequisites of harvesting solar energy. The current study proposed a novel intelligence model through hybridization of Adaptive Neuro-Fuzzy Inference System (ANFIS) with two metaheuristic
Hai Tao +10 more
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Modified aquila optimizer for forecasting oil production
Geo-spatial Information Science, 2022 Oil production estimation plays a critical role in economic plans for local governments and organizations. Therefore, many studies applied different Artificial Intelligence (AI) based methods to estimate oil production in different countries.
Mohammed A. A. Al-qaness +4 more
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Soil moisture estimation using novel bio-inspired soft computing approaches
Engineering Applications of Computational Fluid Mechanics, 2022 Soil moisture (SM) is of paramount importance in irrigation scheduling, infiltration, runoff, and agricultural drought monitoring. This work aimed at evaluating the performance of the classical ANFIS (Adaptive Neuro-Fuzzy Inference System) model as well ...
Roozbeh Moazenzadeh +3 more
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Biomass higher heating value prediction analysis by ANFIS, PSO-ANFIS and GA-ANFIS models [PDF]
Global NEST Journal, 2018 <p>In this study, a new model for biomass higher heating value (HHV) prediction based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) approach was proposed. Proximate analysis (volatile matter, fixed carbon and ash content) data for a wide range of various biomass types from the literature were used as input in model studies. Optimization of
Ceylan, Z. +3 more
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Journal of Marine Science and Engineering, 2023 This study investigates the ability of a new hybrid neuro-fuzzy model by combining the neuro-fuzzy (ANFIS) approach with the marine predators’ algorithm (MPA) in predicting short-term (from 1 h ahead to 1 day ahead) significant wave heights.
Rana Muhammad Adnan Ikram +5 more
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Energy performance forecasting of residential buildings using fuzzy approaches [PDF]
, 2020 The energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact.
Múgica Álvarez, Francisco +1 more
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Drought Prediction Using Compatible Adaptive Neuro Fuzzy Inference System with the Ant Colony Optimization Algorithm in Zabol Watershed [PDF]
پژوهشهای آبخیزداری, 2023 Introduction and Objective The use of simulations combined with the drought index enhances forecast accuracy. The exploratory approach provides the scope for drought warning and the opportunity for financial support and insurance mechanisms for local ...
Payam Ebrahimi
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Dissolved oxygen modelling of the Yamuna River using different ANFIS models
Water Science and Technology, 2021 Dissolved oxygen (DO) is one of the prime parameters for assessing the water quality of any stream. Thus, the accurate estimation of DO is necessary to evolve measures for maintaining the riverine ecosystem and designing appropriate water quality ...
Sameer Arora, Ashok K. Keshari
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Optimizing ANFIS for sediment transport in open channels using different evolutionary algorithms [PDF]
Journal of Applied Research in Water and Wastewater, 2017 Flow through open channels can contain solids. The deposition of solids occasionally occurs due to insufficient flow velocity to transfer the solid particles, causing many problems with transfer systems.
Sultan Noman Qasem +2 more
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