Virual Oral Presentation Slide by Slide

IEEE/ICACT20210223 Slide.05        [Big Slide]	Oral Presentation
	In this paper, we will study the throughput prediction using convolutional neural network (CNN). For conventional CNN, the distribution of the prediction target of throughput data concentrates only on several values. Therefore, the weights of the neural network are mainly decided by the several values which degrades the prediction performance. To solve this issue, we introduce vectorization for the prediction target to reduce the concentration of the distribution, which can improve the prediction accuracy.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!