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adaptive neuro-fuzzy inference

Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System

Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System

... Abstract. Rainfall forcasting is a non-linear forecasting process that varies according to area and strongly influenced by climate change. It is a difficult process due to complexity of rainfall trend in the previous ...

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Estimation of xanthate decomposition percentage as a function of pH, temperature and time by least squares regression and adaptive neuro-fuzzy inference system

Estimation of xanthate decomposition percentage as a function of pH, temperature and time by least squares regression and adaptive neuro-fuzzy inference system

... Estimating the xanthate decomposition percentage has a crucial role in the treatment of xanthate contaminated wastewaters and in the improvement of the flotation process performance. In this research, the modeling of ...

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Modelling tide prediction using linear model and adaptive neuro fuzzy 
		inference system (ANFIS) in Semarang, Indonesia

Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia

... FJ Chang, HC Lain. 2014. Adaptive neuro-fuzzy inference system for the prediction of monthly shoreline changes in northeastern Taiwan. Ocean Engineering. 84: 145-156. GEP Box, GM Jenkins, and ...

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Image Enhancement Using Adaptive Neuro-Fuzzy Inference System

Image Enhancement Using Adaptive Neuro-Fuzzy Inference System

... and fuzzy systems had been investigated to the problems in digital signal ...A Neuro-Fuzzy System is a flexible system trained by heuristic learning techniques derived from neural networks can be ...

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Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)

Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)

... an Adaptive Neuro-Fuzzy Inference System ...Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then find the edges using proposed ANFIS based edge ...

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Survey of fuzzy inference model and impact on QOS parameters using 
		adaptive neuro fuzzy inference system in MANET

Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET

... communication. Fuzzy Inference based System (Adaptive Neuro Fuzzy Inference) is used to optimize the QoS parameters such as delay and node speed for attaining the better ...

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Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

... An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based on Takagi–Sugeno ...

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Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System

Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System

... Abstract— Biometrics plays a very crucial role in various pattern recognitions. Recognition systems are used for offline application and also for online applications. In the biometric family, palmprint based ...

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An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey

An Adaptive Neuro-Fuzzy Inference System (ANFIS) to Predict of Cadmium (Cd) Concentrations in the Filyos River, Turkey

... In this study, ANFIS models were developed to predict the Cd concentration in Filyos River. The results of the study indicated that ANFIS methodology produced very successful findings and had the ability to predict Cd ...

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Development of Adaptive Neuro Fuzzy Inference System for Estimation of Evapotranspiration

Development of Adaptive Neuro Fuzzy Inference System for Estimation of Evapotranspiration

... II. ADAPTIVE NEUROFUZZY INFERENCE SYSTEM The adaptive neuro fuzzy inference system (ANFIS), first introduced by Jang (1993), is a universal approximator and as such is capable of ...

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Classification of MRI Brain Images Using Neuro Fuzzy Model

Classification of MRI Brain Images Using Neuro Fuzzy Model

... hybrid Neuro- fuzzy classifier ...the neuro classifier and the fuzzy classifier and overcomes the demerits of both the ...hand fuzzy logic technique is more accurate but it fully ...

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Wireless and Mobile Technologies

Wireless and Mobile Technologies

... on adaptive Neuro-Fuzzy inference system (ANFIS) for determining the parameters used in the design of a coplanar capacitive coupled probe fed rectangular microstrip ...of fuzzy ...

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Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

... This paper describes the presentation of an IM for high load and high-power applications, this kind of applications the motor have a complex coupling between the field and torque. This can be achieving with an assist of ...

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Article Description

Article Description

... hand fuzzy logic technique is more accurate but it fully depends on expert knowledge, which may not always ...available. Fuzzy logic technique needs less convergence time but it depends on trial and error ...

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Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

... comprising adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and adaptive neuro-fuzzy inference-wavelet (ANFIS-Wavelet) were applied in ...

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Optimization of functional Spirulina cookies on their sensory attributes

Optimization of functional Spirulina cookies on their sensory attributes

... two adaptive vehicle suspension control methods, which significantly improve the performance of mechatronic suspension systems in full car model by absorbing shocks caused by bumpy roads and preventing vibrations ...

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Power Factor Correction of Three Phase Diode Rectifier at Input Stage Using Artificial Intelligent Techniques for DC Drive Applications

Power Factor Correction of Three Phase Diode Rectifier at Input Stage Using Artificial Intelligent Techniques for DC Drive Applications

... controller, Fuzzy Logic Controller (FLC) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and the results are compared for the power factor ...of Fuzzy controller and ...

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A neuro-fuzzy approach to the reliable recognition of electric earthquake precursors

A neuro-fuzzy approach to the reliable recognition of electric earthquake precursors

... intrinsic fuzzy logic abilities, ...a fuzzy in- ference ...the fuzzy in- ference system. The Adaptive Neuro-Fuzzy Inference Sys- tem (ANFIS) algorithm (Jang et ...a ...

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Adaptive fuzzy & Neuro Fuzzy Inference controller based MPPT for photovoltaic systems

Adaptive fuzzy & Neuro Fuzzy Inference controller based MPPT for photovoltaic systems

... algorithmsand fuzzy controllers have emerged. The use of Adaptive neuro fuzzy inference controller (ANFIS) is more suitable for MPPT compared with conventional controllers because they ...

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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength

Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength

... of fuzzy systems: pure fuzzy systems, Mamdani type and Sugeno type fuzzy inference systems (Liu et ...2009). Adaptive Neuro-Fuzzy Inference System (ANFIS) is the ...

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