Fundamental Frameworks for Artificial Neural Networks
Abstract
The University of Alabama, Huntsville (UAH) is requesting a grant in the amount of $1,017,952 (Base Period $406,880; Option Year One: $206,469; Option Year Two:$201,566; Option Year Three: $203,038) to present a physics based Generative Adversarial Network (GAN) framework for improving Radio Frequency (RF) simulations of multi-emitter RF environments. The approach is to incorporate the physics of RF transmission and propagation into the GAN based framework consists of using a physics-based software RF simulator in the loop for training a generator.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 21, 2024
- Source ID
- FA86512420002
Entities
People
- Banerjee Mukherjee
Organizations
- Air Force Research Laboratory
- United States Air Force
- University of Alabama in Huntsville