  The chiral magnetic wave (CMW) is a collective mode in quark-gluon plasma
originated from the chiral magnetic effect (CME) and chiral separation effect.
Its detection in heavy-ion collisions is challenging due to significant
background contamination. In Ref.[1], we have constructed a neural network
which can accurately identify the CME-related signal from the final-state pion
spectra. In this paper, we generalize such a neural network to the case of CMW
search. We show that, after a updated training, the neural network can
effectively recognize the CMW-related signal. Additionally, we assess the
performance of the neural network compared to other known methods for CMW
search.
