Applications of complex-valued neural networks to coherent optical computing using phase-sensitive detection scheme-Reference-Cited by-同舟云学术

Applications of complex-valued neural networks to coherent optical computing using phase-sensitive detection scheme

Published:1994-09 Issue:2 Volume:2 Page:103-117
ISSN:1069-0115
Container-title:Information Sciences - Applications
language:en
Short-container-title:Information Sciences - Applications

Author:

Hirose Akira

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Information Systems and Management,Computer Science Applications,General Engineering,General Environmental Science,General Mathematics

Reference14 articles.

1. Discrete-state phasor neural nets;Noest;Phys. Rev. A,1988

2. Phasor neural networks;Noest,1988

3. Proposal of fully complex-valued neural networks;Hirose,1992

4. Activation functions for neural networks in the complex domain;Georgiou,1992

5. A complex numbered version of the back-propagation algorithm;Nitta,1993

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

2. On uniform stability and numerical simulations of complex valued neural networks involving generalized Caputo fractional order;Scientific Reports;2024-02-19

3. Multi-scroll hidden hyperchaotic attractor and extreme multistability with offset boosting in a memristor-coupled complex-valued laser network;The European Physical Journal Plus;2024-02-16

4. Role of all-optical neural networks;Physical Review Applied;2024-01-17

5. 面向6G太赫兹无线通信的关键机器学习技术综述（特邀）;Laser & Optoelectronics Progress;2024