May 28, 2024 · This paper explores these challenges and proposes an RL-based solution for autonomous ANC systems within the context of SCNB, utilizing a Finite Difference ...
Jun 7, 2024 · This paper explores these challenges and proposes an RL-based solution for autonomous ANC systems within the context of SCNB, utilizing a Finite ...
This paper explores these challenges and proposes an RL-based solution for autonomous ANC systems within the context of SCNB, utilizing a Finite Difference Time ...
Improving Insertion Loss of Sonic Crystal Active Noise Barrier by Reinforcement Learning and Finite Difference Time Domain Simulations. Ramírez-Solana, David ...
Improving Insertion Loss of Sonic Crystal Active Noise Barrier by Reinforcement Learning and Finite Difference Time Domain Simulations. D. ramírez-Solana, J ...
Improving Insertion Loss of Sonic Crystal Active Noise Barrier by Reinforcement Learning and Finite Difference Time Domain Simulations · D. ramírez-SolanaJ ...
Sep 11, 2023 · One of the highlights of this study is the procedure to train an autonomously SCNB active barrier throw a time domain simulation as FDTD and ...
We propose a sonic crystal noise barrier consisting of scatterers with two Helmholtz resonators. The insertion loss of the structure is determined numerically.
Missing: Reinforcement | Show results with:Reinforcement
Improving Insertion Loss of Sonic Crystal Active Noise Barrier by Reinforcement Learning and Finite Difference Time Domain Simulations · Parametric Design and ...
This paper explores these challenges and proposes an RL-based solution for autonomous ANC systems within the context of SCNB, utilizing a Finite Difference Time ...
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