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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
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.
📌 3 Key Takeaways
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Objective & Hypothesis: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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Key Findings & Data: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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Conclusion & Impact: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.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
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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Cite This Article
KAHRAMAN, G., MERMER, Ö., ALCI, M. (2022). Neural network based design and control of acousto-optic filter fibre-amplifier module. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 3 - Sayı: 1, 641–644. https://ajindex.com/articles/543894