HIGHLIGHTS
SUMMARY
The considerable speed of optical data transmission results in large datasets obtained in a short time, making the optical channel a suitable playground for machine_learning techniques. Despite various acknowledged advantages and benefits, there are still challenges and pitfalls that hinder the use of machine_learning and NNs, particularly in optical transmission-related tasks. When applying known NN techniques to optical fiber transmission, the customization and adaptation of these algorithms can be necessary for reaping the full benefits of machine_learning. It occurs "when using a model that includes irrelevant components (excessive degrees of freedom)". This result . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.