Photonic Technology Development for Densely Interconnected Neural Networks: Augmentation Award.
Abstract
Technical accomplishments under the grant, 'Photonic Technology Development for Densely Interconnected Neural Networks: Augmentation Award' (AFOSR Grant No. F49620-93-1-0445), B. K. Jenkins, P.I. are described. They include an analysis of convergence conditions and properties of backward error propagation learning in photorefractive based optical neural networks. The analysis includes implementations based on fully coherent single source architectures and on incoherent/coherent multiple source architectures. Also analyzed in terms of their effect on optical neural network learning are spatial light modulator limitations such as finite modulator contrast ratio, detector noise, and limited detector dynamic range. Additionally, we have developed a technique for compensating for photorefractive grating decay during neural network learning, by varying two parameters, spatial light modulator gain and photorefractive crystal exposure energy, according to a prescribed schedule.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 24, 1997
- Accession Number
- ADA320927
Entities
People
- B. K. Jenkins
Organizations
- University of Southern California