实时光学模糊关联记忆神经网络

REAL-TIME OPTICAL FUZZY ASSOCIATIVE MEMORY NEURAL NETWORK

构建了实时光学模糊关联记忆神经网络系统，采用空间面积编码实现了光学模糊逻辑，提出了分时处理技术，为实现更多神经元的网络提供了一条有效途径；并进一步论证了网络作为灵活实时互连功能模块的可行性；

A real-time optical system for fuzzy associative memory (FAM) neural network was set up. The spatial area-encoding method was used to implement optical fuzzy logic.A time-division processing approach is presented, which offers an effective way to realize neural network with a large amount of neurons. Furthermore, the feasibility of programmable interconnection is also discussed. Simulated calculation and experimental results are given.