Presentation Information

1:45 PM - 2:00 PM JST(4:45 AM - 5:00 AM UTC)Candidate for Academic Incentive Award

[C-15-26]A Study on Image Classification Using Reservoir Computing Based on Wave Interference

◎Hikaru Shirai¹, Seiya Kishimoto¹, Shinichiro Ohnuki¹ (1. Nihon Univ.)

Keywords:

Reservoir Computing,Image classification,MNIST,Wave interference

Compared to deep learning, reservoir computing can significantly reduce power consumption and computational resources during training. Reservoir computing is attracting attention. In this paper, we propose and evaluate an image classification　method that utilizes reservoir computing to generate features by leveraging wave propagation and interference phenomena in image learning.

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