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Bipolar Optical Neural Networks Using Ferroelectric Liquid Crystal Devices by Cleber M. Gomes; Hiroyuki Sekine; Takashi Yamazaki; Shunsuke Kobayashi is a Computer Science article available to read on EtoBox.
What is Bipolar Optical Neural Networks Using Ferroelectric Liquid Crystal Devices about?
Ferroelectric Liquid Crystal (FLC) electrooptic devices present some characteristics that make them attractive for the optical implementation of neural computers: high response speed and bistability, or intrinsic memory capability. Herein we will demonstrate how the electrooptic bistability of FLC materials can be used to implement bipolar optical neural networks, based on simple FLC cells that act as the neurons and as the interconnections among them.
Who reads Bipolar Optical Neural Networks Using Ferroelectric Liquid Crystal Devices?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Cleber M. Gomes; Hiroyuki Sekine; Takashi Yamazaki; Shunsuke Kobayashi
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0893-6080)
- Published
- 1992
- Language
- EN
- Field
- Computer Science (Physical Sciences)