Abstract
In this paper, we discuss the significance of complex-valued neural-network (CVNN) framework in energy-efficient neural networks, in particular in wave-based reservoir networks. Physical-wave reservoir networks are highly enhanced by CVNNs. From this viewpoint, we also compare the features of reservoir computing and other architectures.
Author supplied keywords
Cite
CITATION STYLE
Hirose, A., Takeda, S., Yamane, T., Nakano, D., Nakagawa, S., Nakane, R., & Tanaka, G. (2017). Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10637 LNCS, pp. 449–456). Springer Verlag. https://doi.org/10.1007/978-3-319-70093-9_47
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
