Synmatrix滤波器设计案例:AI优化设计过程
在学习机器学习的过程中我们发现,大部分的机器学习算法的本质都是建立优化模型,通过最优化方法对目标函数(或损失函数)进行优化,从而训练出最好的模型,梯度下降是最基本的优化算法。Synmatrix滤波器设计方案里面,其特色之一就是基于机器学习的AI优化过程,其官网介绍如下:
Automatic AI Optimization
AI-optimized tuning and advanced space mapping system with an integrated Ansys HFSS workflow.
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下面就分享几个滤波器的AI优化设计过程的案例:
同轴腔体结构滤波器空间映射设计方法
波导结构滤波器优化
介质填充波导滤波器优化
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