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When was taguchi method used in predicting the critical temperature of superconducting materials? 


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The Taguchi method was utilized in predicting the critical temperature of superconducting materials in various studies. Specifically, Taguchi's T-method was integrated with a swarm-based binary bat optimization algorithm to enhance prediction accuracy, resulting in a significant improvement in the T-method prediction accuracy . Additionally, experiments were conducted using Taguchi methods to compare critical factors in high-temperature superconducting integrated circuit elements, leading to substantial improvements in critical current values through optimized processes . Moreover, a proposal was made to integrate an angle modulated Bat algorithm with the T-method to optimize prediction models, resulting in a 10.74% enhancement in prediction accuracy by utilizing only four features over the original eight . These studies collectively demonstrate the effectiveness of the Taguchi method in predicting the critical temperature of superconducting materials.

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