Inverse Design of Tunable Lowpass Microstrip Filters Based on Generative Adversarial Network and Transfer Learning

Research article (IEEE Transactions on Circuits & Systems II Express Briefs, 2024) · cited 11× · AI/ML
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Inverse Design of Tunable Lowpass Microstrip Filters Based on Generative Adversarial Network and Transfer Learning

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Inverse Design of Tunable Lowpass Microstrip Filters Based on Generative Adversarial Network and Transfer Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Inverse Design of Tunable Lowpass Microstrip Filters Based on Generative Adversarial Network and Transfer Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/inverse-design-of-tunable-lowpass-microstrip-filters-based-on-generative-adversarial-network-and-transfer-learning
MLA “Inverse Design of Tunable Lowpass Microstrip Filters Based on Generative Adversarial Network and Transfer Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/inverse-design-of-tunable-lowpass-microstrip-filters-based-on-generative-adversarial-network-and-transfer-learning.
BibTeX @misc{4ortxyz_inverse-design-of-tunable-lowpass-microstrip-filters-based-on-generative-adversarial-network-and-transfer-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Inverse Design of Tunable Lowpass Microstrip Filters Based on Generative Adversarial Network and Transfer Learning}}, year = {2026}, url = {https://4ort.xyz/entity/inverse-design-of-tunable-lowpass-microstrip-filters-based-on-generative-adversarial-network-and-transfer-learning}, note = {Accessed: 2026-05-24}}
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