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Development of a hyper-parallel optical fuzzy-neural network using images
By: Tamano, K.;
1995 / IEEE / 0-7803-2570-2
This item was taken from the IEEE Periodical ' Development of a hyper-parallel optical fuzzy-neural network using images ' A hyper-parallel fuzzy-neural network system that uses optical images to infer conclusions is proposed. This system is formed on the basis of the idea of the optical fuzzy inferring system proposed by the author. The hyper-parallel neural network can transform input data applied to a great number of input units into outputs generated from a great number of output units. This paper shows the fundamental optical architectures of the fuzzy-neuro system and the hyper-parallel fuzzy-neural network. Pattern recognition of numerical letters by the fuzzy-neuro system and the calculation of correlation between two-dimensional patterns by the hyper-parallel fuzzy-neural network are also demonstrated.
Neural Net Architecture
Fuzzy Neural Nets
Hyper-parallel Optical Fuzzy-neural Network
Optical Fuzzy Inferring System
Fundamental Optical Architectures
Optical Fiber Networks
Optical Network Units
High Speed Optical Techniques
Optical Neural Nets