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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
So this algorith can be used to obtain the parameters that will be used to synthesize such circuits.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given.
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Key Findings & Data:The results of ANN are compared with the values that are desired.
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Conclusion & Impact:So this algorith can be used to obtain the parameters that will be used to synthesize such circuits.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given. The results of ANN are compared with the values that are desired. It has been observed that the calculated and the desired values are extremely close to each other. So this algorith can be used to obtain the parameters that will be used to synthesize such circuits.
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Cite This Article
ÖZMEN, A., YILMAZ, M., ŞENGÜL, M. (2022). Design of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 3 - Sayı: 2, 955–959. https://ajindex.com/articles/651714