✦ LIBER ✦

Training high-speed opto-electronic neural network hardware

✍ Scribed by David Wood

Publisher: Elsevier Science
Year: 1991
Tongue: English
Weight: 364 KB
Volume: 82
Category: Article
ISSN: 0030-4018
DOI: 10.1016/0030-4018(91)90451-i

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Rapid, supervised training of a two-laye

Rapid, supervised training of a two-layer, opto-electronic neural network using simulated annealing

✍ N.M. Barnes; A.W. O'Neill; D. Wood 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 268 KB

An Adaptive Opto-electronic Neural Netwo

An Adaptive Opto-electronic Neural Network for Associative Pattern Retrieval

✍ F. Ahmed; A.A.S. Awwal 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 512 KB

A novel adaptive trinary neural network model is proposed for associative pattern retrieval from incomplete data. Systematic analysis of the convergence mechanism for the character recognition problem is provided to illustrate the derivation of this novel adaptive thresholding scheme. The adaptive s

Hardware-friendly Higher-Order Neural Ne

Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms

✍ M.G. Epitropakis; V.P. Plagianakos; M.N. Vrahatis 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 560 KB

GaAs opto-electronic integrated circuits

GaAs opto-electronic integrated circuits for high speed optical communications

✍ D.L. Rogers 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 186 KB

Opto-electronic implementation of a neur

Opto-electronic implementation of a neural network with a third- order interconnection for quadratic associative memory

✍ Senmao Lin; Liren Liu 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 361 KB

The influence of photo-detector non-line

The influence of photo-detector non-linearity on the multi-functionality of an opto-electronic cellular neural network

✍ Keng-Shen Hung; K. Mervyn Curtis; John W. Orton 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 647 KB

The multi-functionality of an opto-electronic cellular neural network (OECNN) is investigated in this paper. Investigations are carried out to see if the network can still perform as an image edge detector, noise remover, or shadow creator when its metal-semiconductor-metal photodiodes (MSMPDs) have