Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:A2L-E
Session:
Number:A2L-E-3
Complex-Valued Neural Networks to Realize Energy-Efficient Neural Networks Including Reservoir Computing
Akira Hirose, Seiji Takeda, Toshiyuki Yamane, Daiju Nakano, Shigeru Nakagawa, Ryosho Nakane, Gouhei Tanaka,
pp.186-188
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
This paper describes the background and basic ideas of wave-based neural networks including reservoir computing for realizing energy-efficient neural network hardware. We also show the significance of the framework of complex-valued neural networks.