1. Practical optoelectronic neural network realizations based on the fault tolerance of the backpropagation algorithm
- Author
-
Allen, Tony J., Hung, Keng-Shen, Curtis, K. Mervyn, and Orton, John W.
- Subjects
Neural networks -- Models ,Laser communication systems -- Models ,Optical communications -- Research ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
This paper describes how the fault tolerance of the backpropagation algorithm can be used to accommodate the realistic (nonideal) transfer characteristics of the optical communication links used, between neural layers, in optoelectronic neural networks. In particular we demonstrate that networks, utilizing MSM (metal-semiconductor-metal) photodiodes (PD's) and either LED (light emitting diode) or MQW (multiple quantum well) Plaser transmitters within these intraneural links, are capable of performing satisfactorily even in the presence of such nonideal device phenomena as: 60% optical crosstalk, 50% optoelectronic device variation, or a threshtided ([I.sub.th] = 0.5 * [I.sub.max]) laser output characteristic. Subsequent to this, we then show how it is possible to use this fault tolerance to simplify the neuron architecture, to the extent that it consists only of MSM PD's, a current amplifier, and an MQW laser. The overall neuron transfer function is then a first-order approximation to the original sigmoidal function.
- Published
- 1996