Prediction of Water Quality Parameters Using ANFIS Optimized by Intelligence Algorithms (Case Study: Gorganrud River)
활용도 Analysis
논문 Analysis
연구자 Analysis
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Prediction of Water Quality Parameters Using ANFIS Optimized by Intelligence Algorithms (Case Study: Gorganrud River)' 의 참고문헌
Using of hybrid fuzzy models to predict spatiotemporal groundwater quality parameters
Using artificial neural network for reservoir eutriphication prediction
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Optimization, learning and natural algorithms
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Novel MLP neural network with hybrid Tabu search algorithm
Neuro-fuzzy modelling and forecasting in water resources
Multi-criteria genetic optimization for distribution network problems
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Fuzzy model identification based on cluster estimation
Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of black foot disease in Taiwan
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Ant colony optimization for continuous domains
Adaption in natural and artificial system
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A fast elitist multi-objective Genetic Algorithm for multi-objective optimization: NSGA-II
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Prediction of Water Quality Parameters Using ANFIS Optimized by Intelligence Algorithms (Case Study: Gorganrud River)'
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