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RISDesign of an expert system based on neuro-fuzzy inference analyzer for on-line microstructural characterization using magnetic NDT method
Tracing microstructural evolution has a significant importance and priority in manufacturing lines of
dual-phase steels. In this paper, an artificial intelligence method is presented for on-line microstructural
Process Control Strategies for Dual-Phase Steel Manufacturing Using ANN and ANFIS
for the training and testing of both artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). The parameters used in the strategy were intercritical annealing temperature, carbon content, and holding time which gives off martensite...
Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell
Artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) modeling were used to investigate the effect of power density and Columbic efficiency (CE) in a microbial fuel cell. Four influential factors, including ionic strength...
Controlling structures by inverse adaptive neuro fuzzy inference system and MR dampers
To control structures against wind and earthquake excitations, Adaptive Neuro Fuzzy Inference Systems and Neural Networks are combined in this study. The control scheme consists of an ANFIS inverse model of the structure to assess the control force...
Adaptive Neuro-Fuzzy Inference System (ANFIS) as a new tool in predictive food microbiology
for predicting microbial growth in various conditions. In
the present study we have examined a new tool for predictive microbiology; Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS is
combination of artificial neural networks and fuzzy logic...
Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers
) and polystyrene (PS) are modeled by adaptive neuro-fuzzy inference system (ANFIS) in wide range of pressure and temperature. The results obtained in this work indicate that ANFIS is effective method for prediction of solubility of carbon dioxide in polymers...
Estimating the Optimal Dosage of Sodium Valproate in Idiopathic Generalized Epilepsy with Adaptive Neuro-Fuzzy Inference System
) of sodium valproate is a real challenge to all neurologists. In this study, a new approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) was presented for estimating the optimal dosage of sodium valproate in IGE (Idiopathic Generalized Epilepsy...
Estimation of Soil Cation Exchange Capacity using Multiple Regression, Artificial Neural Networks, and Adaptive Neuro-fuzzy Inference System Models in Golestan Province, Iran
Artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) provide an alternative by estimating soil parameters from more readily available data. In this article, multilayer perceptron (MLP) and radial basis function (RBF...