An optical neuron structure and a neural network processing system including the structure

Abstract

The present invention provides an optical neuron structure and a neural network processing system including the structure. The neuron structure comprises a synaptic input modulation module, a synapticweight modulation module, a light aggregation module and a light intensity detection module, wherein, the synaptic input modulation module is used for receiving an optical signal and performing optical path modulation under the control of an electrical signal associated with the input neuron; A synaptic weight modulation module for performing modulation of an optical signal of the bearer input neuron under control of an electrical signal associated with the weight; The light aggregation module is used for aggregating the output optical signals of a plurality of synaptic weight modulation modules; The light intensity detection module is configured to convert an output light signal from the light aggregation module into an electrical signal and perform an activation operation. The optical neuron structure of the invention and the neural network processing system including the structure can realize the fast calculation of the neural network.

Description

technical field [0001] The invention relates to the technical field of artificial neural networks, in particular to an optical neuron structure and a neural network processing system including the structure. Background technique [0002] In recent years, the deep neural network learning algorithm based on big data has become one of the mainstream methods of artificial intelligence. It interprets data with a mechanism that simulates the human brain, and forms more abstract high-level attributes by combining low-level features. Currently, deep neural network technology plays a fundamental role in the fields of smart cars, natural language processing, drones, and information security. [0003] The artificial neural network is composed of a large number of neurons. Each neuron receives multiple input stimuli, performs weighted summation and generates activation when it exceeds a certain threshold, and outputs the signal to the next level. The hierarchical relationship between ne...

AI Technical Summary

Problems solved by technology

At present, the neural network processing based on optical technology is still in the preliminary research stage. The existing optical neural network structure is not only large in size, high in power consumption, poor in performance and difficult to expand in scale, but also the structure of these neural networks is relatively fixed and cannot be used according to the application The needs change dynamically, and the universality is poor

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