Optical learning neural network with fuzzy controlling

摘要

We constructed a learning optical neural network with variable learning coefficient by fuzzy controlling. The system performs learning with two-dimensional optical means for handling images witout scanning and pixeling. By the fuzzy controlling theory, the learning coefficient in back-propagation algorithm is adjusted based on the training error and training time. The effectiveness of the system confirmed by the learning experiments of the recognition of three human faces.