Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: F3.7
Paper Title:  Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations
Authors:  William Chang, Hassan Hamad, Keith Chugg, USC, United States
Session: In-Person Posters VI
Location: Fred Farr
Presentation Time: Tuesday, November 1, 13:30 - 15:00
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Poster
Topic:  Adaptive Systems, Machine Learning, Data Analytics: Deep Learning