18 results with keyword: 'adaptive neuro fuzzy inference system rainfall runoff modeling'
Here, the results shows (table-1) that the ratio for training and testing data of 60-40% and 70-30% gives the better results for the RMSE and r values but when looking to
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Based on Table 3, the 4- input model has the lowest RMSE value thus it is the best model to measure an accuracy in prediction, with less over fitted plots and the highest value
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This study developed dynamic evolving neuro fuzzy inference system (DENFIS) model for event based and continuous rainfall- runoff modeling and the results were
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Therefore, Adaptive Neuro Fuzzy Inference System (ANFIS) as neuro-fuzzy classifier is applied to churn prediction modeling and benchmarked to traditional rule- based classifier
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Accordingly, three artificial intelligence (AI) techniques comprising adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and adaptive
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It is a difficult process due to complexity of rainfall trend in the previous event and the popularity of Adaptive Neuro Fuzzy Inference System (ANFIS) with
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This paper, adaptive neuro-fuzzy inference system for okra yield prediction, describes the use of neuro -fuzzy inference system in the prediction of okra yield using
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This study compared some basic soft computing techniques, namely, artificial neural network, fuzzy inference system and adaptive neuro-fuzzy inference system as
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Artificial Neural Network (ANN), Fuzzy Inference System (FIS) as well as Adaptive Neuro Fuzzy Inference System (ANFIS) are deployed to predict the remaining useful lifetime
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Application of Adaptive Neuro-Fuzzy Inference System for the Modeling of Malachite Green dye Adsorption Using ZnO Nanoparticles Loaded on Activated Carbon.. 1
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Modeling minimum temperature using adaptive neuro-fuzzy inference system based on spectral analysis of climate indices: A case study in Iran.. Hojatollah Daneshmand a , * ,
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Adaptive Neuro Fuzzy Inference System (ANFIS) is a fuzzy mapping algorithm that is based on Tagaki-Sugeno-Kang (TSK) fuzzy inference system (Jang et al., 1997
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This study proposes two rainfall time series prediction models, the Single Fuzzy Inference System and the Modular Fuzzy Inference System, which use the concept of cooperative
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The neuro fuzzy classifier is used for classification is the Adaptive Network based Fuzzy Inference system(ANFIS).The developed neuro fuzzy classifier is tested
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This paper presents an adaptive neuro-fuzzy inference system (ANFIS) and feed-forward neural network (FFNN) modeling applied to the domestic plant of the Bunus
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The neuro fuzzy classifier is used for classification is the Adaptive Network based Fuzzy Inference system(ANFIS).The developed neuro fuzzy classifier is tested for
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Basic flexible OR-type neuro-fuzzy inference system and basic compromise AND-type neuro-fuzzy inference system are two new flexible neuro-fuzzy controllers
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