Multi-Level Neuroevolution Deep Learning Framework for Multivariate Anomaly Detection

Date:

Wednesday, Oct 5, 2022

Time:

2:00 pm

Room:

Aquamarin

Summary:

This session presents Anomaly Detection Neuroevolution (AD-NEv) – a multi-level optimized neuroevolution framework. The method adapts genetic algorithms for: i) creating an ensemble model based on the bagging technique; ii) optimizing the topology of single anomaly detection models; iii) non-gradient fine-tuning network parameters. The results prove that the models created by AD-NEv achieve significantly better results than the well-known anomaly detection deep learning models.

Ready to attend?

Register now! Join your peers.

Register nowView Agenda
Newsletter Knowledge is everything! Sign up for our newsletter to receive:
  • 10% off your first ticket!
  • insights, interviews, tips, news, and much more about Deep Learning World
  • price break reminders