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Hey, I would like to understand that if I am using 30 hz model, and want to reach 80 or 90 hz from there using atPINN. How can that be achieved ? I mean in terms of normalisation and the weights.
论文中多次提到参数损失为L_2损失 但是所有示例中参损失均为L_1损失 这个要怎么理解?
您好,感谢您分享代码。在4.5.1中,采用AtPINN对拉普拉斯方程进行了求解,我的问题是,代码中
loss_eps = torch.abs(self.eps_ - self.eps)
是用于计算Lp损失的。
我理解self.eps_是我们要学习的参数,self.eps是目标参数,这里已经进行了归一化操作,所以这里的目标参数应该是1才对,但是代码中却是3.1415936.如果是这样的话,最终学习到的
eps1 = self.eps_ * 6 * 3.1415926 eps2 = self.eps_ * 3 * 3.1415926
是6pipi,带入到(34b)解析解中也是不正确的。
此外,针对c到选值,论文中给出了0.00017,但是代码中是0.001请问应该如何选择呢?
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