A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification

06/24/2022
by   Yihao Zhang, et al.
0

Based on the physical features of Raman amplification, we propose a three-step modelling scheme based on neural networks (NN) and linear regression. Higher accuracy, less data requirements and lower computational complexity are demonstrated through simulations compared with the pure NN-based method.

READ FULL TEXT

page 2

page 3

research
11/26/2020

CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks

Our recent study using historic data of paddy yield and associated condi...
research
01/16/2023

On Using Deep Learning Proxies as Forward Models in Deep Learning Problems

Physics-based optimization problems are generally very time-consuming, e...
research
04/22/2022

Exploring Hidden Semantics in Neural Networks with Symbolic Regression

Many recent studies focus on developing mechanisms to explain the black-...
research
08/24/2023

SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers

Equalization is an important task at the receiver side of a digital wire...
research
07/19/2022

Using Neural Networks by Modelling Semi-Active Shock Absorber

A permanently increasing number of on-board automotive control systems r...
research
12/31/2022

Smooth Mathematical Function from Compact Neural Networks

This is paper for the smooth function approximation by neural networks (...
research
08/18/2020

Efficient planning of peen-forming patterns via artificial neural networks

Robust automation of the shot peen forming process demands a closed-loop...

Please sign up or login with your details

Forgot password? Click here to reset