EISSN 2619-9831

INDEXED IN DOAJ INDEXED IN WEB OF SCIENCE AND SCOPUS

ELECTRICA

24 97 2024

HIGHLY CITED ARTICLES

The Adaptive Chaotic Symbiotic Organisms Search Algorithm Proposal for Optimal Reactive Power Dispatch Problem in Power Systems

By: Yalcin, E; Taplamacioglu, MC; Cam, E

Comparative Performance Analysis of Slime Mould Algorithm For Efficient Design of Proportional-Integral-Derivative Controller

By: Izci, D; Ekinci, S

Optimally Designed PID Controller for a DC-DC Buck Converter via a Hybrid Whale Optimization Algorithm with Simulated Annealing

By: Hekimoglu, B; Ekinci, S

Design and Implementation of A Batteryless Wireless Embedded System for IoT Applications

By: Yuksel, ME

Features of Wall-Mounted Luminaires with Different Types of Light Sources

By: Pekur, DV; Sorokin, VM; Nikolaenko, YE

Differential Chaos Shift Keying-Assisted Media-Based Modulation

By: Onal, B; Cogen, F; Aydin, E

Snubber Circuit Application for Power-Factor Correction Flyback LED Driver

By: Akin, B

LWE: An Energy-Efficient Lightweight Encryption Algorithm for Medical Sensors and IoT Devices

By: Toprak, S; Akbulut, A; Aydin, MA; Zaim, AH

Power Consumption Analysis of a Wi-Fi based IoT Device

By: Yuksel, ME

An Effective Method for Islanding Detection Based on Variational Mode Decomposition

By: Salimi, S; Koochaki, A

NEURAL NETWORK BASED DESIGN AND CONTROL OF ACOUSTO-OPTIC FILTER FIBRE-AMPLIFIER MODULE

Ömer MERMER ¹ , Gökalp KAHRAMAN ¹ , Musa ALCI ¹

Author Affiliation(s)

1.

Ege University, Department of Electrical and Electronics Engineering, Bornova 35100, Izmir, Turkey

ELECTRICA 2003; 3: 641-644

Keywords : Neural Network, Erbium doped fiber amplifier, gain flattening, optical filter

Read: 629 Downloads: 434 Published: 28 December 2019

Volume 3, Issue 1, January 2003

Previous Article

An Artificial Neural Network (ANN)-controlled acousto-optic-filter fibre-amplifier module is proposed to improve the conventional computer-interfaced computationally heavy algorithm-based techniques.

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