… Artificial intelligence techniques, namely artificial neural networks (ANN) and an adaptive
neurofuzzy inference system (ANFIS), were used in the reported study to estimate the flow at …

… logic, and adaptive neuro-fuzzy inference system for flood prediction … Artificial neural network
(ANN), fuzzy logic, and adaptive neuro-fuzzy inference system (ANFIS) algorithms are used …

… This knowledge is then used to predict the outcome for new … architecture called Adaptive
Neuro-Fuzzy Inference System (… Artificial Neural Network can be used as an alternative …

… system approaches such as artificial neural network (ANN) and … , our application introduces
a neuro-fuzzy inference system to … in neuro-fuzzy development is the adaptive neuro-fuzzy …

… Rainfall-runoff models include physical, conceptual, experimental, and artificial … as artificial
neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are widely used for …

… Recently, artificial neural networks (ANNs) have been accepted as a potentially useful tool …
neuro-fuzzy approach, namely adaptive neuro-fuzzy inference system (ANFIS), in forecasting …

… procedures used in neural networks. … , Adaptive Neuro-Fuzzy Inference System (ANFIS)
is developed in the form of a zero-order Takagi-Sugeno-Kang fuzzy inference system to predict …

… and practical background of artificial neural network (ANN) and adaptive neuro-fuzzy
inference systems (ANFIS) in modeling energy use and predicting output energy in different …

… a novel class of neuro-fuzzy architecture called Adaptive Neuro-Fuzzy … control system and
to predict a chaotic time series. Further, author compared system with artificial neural networks …

… paper proposes an adaptive neuro-fuzzy system, HyFIS (Hybrid neural Fuzzy Inference
System), … In this section, we show that prediction can be greatly improved by using the adaptive …