Efficiency of Artificial Neural Networks (ANNs) in intelligent estimation of flood hydrograph for Shirindarreh reservoir dam in comparison with Adaptive Neuro–Fuzzy Inference System (ANFIS)

2014 ◽  
pp. 139-144
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Inference System ◽  
Flood Hydrograph ◽  
Artificial Neural

scholarly journals Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System

2017 ◽  
Author(s):  
Mahmood Abbasi Layegh ◽  
Changiz Ghobadi ◽  
Javad Nourinia
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Resonant Frequency ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
High Approximation ◽  
Adaptive Network ◽  
Resonant Frequencies ◽  
Inference System ◽  
Artificial Neural

This paper attempts at applying adaptive network-based fuzzy inference system (ANFIS) for analysis of the resonant frequency of a microstrip rectangular patch antenna with two equal size slots which are placed on the patch vertically. The resonant frequency is calculated as the position of slots is shifted to the right and left sides on the patch. As a result , the antenna resonates at more than one frequency . Commonly, machine algorithms based on artificial neural networks are employed to recognize the whole resonant frequencies. However ,they fail to estimate the resonant frequencies correctly as in some cases variations are not very sensible and the resonant frequencies overlap each other . It can be concluded that artificial neural networks could be replaced in such designs by the adaptive network-based fuzzy Inference system due to its high approximation capability and much faster convergence rate.

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