Keynote Speech: Information processing hardware, physical reservoir computing and complex-valued neural networks

2019 ◽  
Author(s):  
Akira Hirose ◽  
Ryosho Nakane ◽  
Gouhei Tanaka
Keyword(s):  
Neural Networks ◽  
Information Processing ◽  
Reservoir Computing ◽  
Keynote Speech ◽  
Speech Information ◽  
Complex Valued

MODELS OF HOPFIELD-TYPE QUATERNION NEURAL NETWORKS AND THEIR ENERGY FUNCTIONS

2005 ◽  
Vol 15 (01n02) ◽  
pp. 129-135 ◽  
Author(s):  
MITSUO YOSHIDA ◽  
YASUAKI KUROE ◽  
TAKEHIRO MORI
Keyword(s):  
Neural Networks ◽  
Information Processing ◽  
Energy Function ◽  
Point Of View ◽  
Complex Numbers ◽  
Energy Functions ◽  
Fully Connected ◽  
Complex Valued

Recently models of neural networks that can directly deal with complex numbers, complex-valued neural networks, have been proposed and several studies on their abilities of information processing have been done. Furthermore models of neural networks that can deal with quaternion numbers, which is the extension of complex numbers, have also been proposed. However they are all multilayer quaternion neural networks. This paper proposes models of fully connected recurrent quaternion neural networks, Hopfield-type quaternion neural networks. Since quaternion numbers are non-commutative on multiplication, some different models can be considered. We investigate dynamics of these proposed models from the point of view of the existence of an energy function and derive their conditions for existence.

Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing

2017 ◽  
pp. 449-456 ◽  
Author(s):  
Akira Hirose ◽  
Seiji Takeda ◽  
Toshiyuki Yamane ◽  
Daiju Nakano ◽  
Shigeru Nakagawa ◽  
...  
Keyword(s):  
Neural Networks ◽  
Reservoir Computing ◽  
Complex Valued

Information processing in synchronous neural networks

1988 ◽  
Vol 49 (1) ◽  
pp. 13-23 ◽  
Author(s):  
J.F. Fontanari ◽  
R. Köberle
Keyword(s):  
Neural Networks ◽  
Information Processing

scholarly journals Finite-time projective synchronization of stochastic complex-valued neural networks with probabilistic time-varying delays

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Meng Hui ◽  
Jiahuang Zhang ◽  
Jiao Zhang ◽  
Herbert Ho-Ching Iu ◽  
Rui Yao ◽  
...  
Keyword(s):  
Neural Networks ◽  
Finite Time ◽  
Projective Synchronization ◽  
Time Varying ◽  
Complex Valued
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