Compensation of fiber nonlinearities in digital coherent systems leveraging long short-term memory neural networks
… short-term memory (LSTM) neural network architectures for the compensation of fiber
nonlinearities … The numerical results show that LSTM Neural Networks can be very efficient as post …
nonlinearities … The numerical results show that LSTM Neural Networks can be very efficient as post …
Reflective fiber fault detection and characterization using long short-term memory
K Abdelli, H Griesser, P Ehrle, C Tropschug… - Journal of Optical …, 2021 - opg.optica.org
… in fiber optics is extremely crucial to ensure the optical network’s survivability and reliability.
Any service outage due to a fiber break results in massive data loss, network … caused by fiber-…
Any service outage due to a fiber break results in massive data loss, network … caused by fiber-…
Ultralow complexity long short-term memory network for fiber nonlinearity mitigation in coherent optical communication systems
H Ming, X Chen, X Fang, L Zhang, C Li… - Journal of Lightwave …, 2022 - opg.optica.org
… short-term memory network (Bi-LSTM) was numerically studied for the mitigation of fiber …
In this paper, we propose a novel center-oriented long shortterm memory network (Co-LSTM…
In this paper, we propose a novel center-oriented long shortterm memory network (Co-LSTM…
Wavelength detection of model-sharing fiber Bragg grating sensor networks using long short-term memory neural network
… In this paper, we present a deep network called Long Short-Term Memory (LSTM) for the
wavelength detection of spectrally overlapping FBG sensor network. LSTM, proposed by …
wavelength detection of spectrally overlapping FBG sensor network. LSTM, proposed by …
Chaotic optical communications at 56 Gbit/s over 100-km fiber transmission based on a chaos generation model driven by long short-term memory networks
… a physical layer and is compatible with the existing optical networks. At present, to realize
long-… In this Letter, we introduce long short-term memory (LSTM) networks to learn a nonlinear …
long-… In this Letter, we introduce long short-term memory (LSTM) networks to learn a nonlinear …
Use of short fiber-reinforced composite with semi-interpenetrating polymer network matrix in fixed partial dentures
… results of the present study suggest that the use of short fiber composite (FC) with fiber length
exceeding critical fiber length could offers an alternative approach in framework design of …
exceeding critical fiber length could offers an alternative approach in framework design of …
Comparison of 2D fiber network orientation measurement methods
EA Sander, VH Barocas - … Materials Research Part A: An Official …, 2009 - Wiley Online Library
… for characterizing fiber … for fiber networks, has not been conducted. In this study, we
constructed 40 two-dimensional test images composed of simulated fiber networks varying in fiber …
constructed 40 two-dimensional test images composed of simulated fiber networks varying in fiber …
Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network
… The presented LSTM network only requires the initial signal power distribution as the input …
at whole fiber distance is iteratively realized in a feedback loop. Firstly, we train the network in …
at whole fiber distance is iteratively realized in a feedback loop. Firstly, we train the network in …
Elasticity of planar fiber networks
XF Wu, YA Dzenis - Journal of Applied Physics, 2005 - pubs.aip.org
… An effective constitutive relation for fiber network is developed by averaging the strain …
A fiber network is a porous structure with fiber volume fraction depending on a specific fiber …
A fiber network is a porous structure with fiber volume fraction depending on a specific fiber …
Neural network‐based closure for modeling short‐fiber suspensions
… orientation tensors enjoy widespread application in short-fiber reinforced polymer … complex
fiber orientation states. The orientation of reinforcing fibers within a short-fiber composite …
fiber orientation states. The orientation of reinforcing fibers within a short-fiber composite …
相关搜索
- random fiber networks
- long short term memory neural networks
- complete fiber network topology
- fiber network deformation
- elasticity of planar fiber networks
- fiber networks microscopic mechanics
- short fiber suspensions
- short fiber composites
- long short term memory fault detection
- fiber optics neural network
- short glass fiber polymer network matrix
- sixth order short fiber
- fiber nonlinearity mitigation memory network
- fiber sensors passive optical network
- fiber nonlinearity mitigation neural network applications
- fiber transmission memory networks