Intensity-position neural network
Vasile Degeratu, Ştefania Degeratu, Paul Șchiopu · 2005
In this paper the authors present an intensity-position neural network. This neural network is achieved from Fabry-Perot cavities with nonlinear medium. This intensity-position neural network has many applications: it can be used into artificial systems that process external or internal stimuli by different intensities achieving decoding of these stimuli, it can be used for neural computers into process by coding of information, it can be used in the color television etc. The advantages of the presented intensity-position neural network are the following: low power of input beam for nonlinearity stimulation (tens by nano-watts), small switching time (by pico-second time), parallel addressing and diminishing of bit dimension until to limit by input beam focusing etc.