Optical fiber simulated Raman scattering effect based optical neuron and establishment method thereof

Abstract

The invention discloses an optical fiber simulated Raman scattering effect based optical neuron and an establishment method thereof. The optical neuron comprises external optical transmitters, a first local optical transmitter, a second local optical transmitter, a subtracter, a combiner, a third optical fiber, an optical filter, a first optical-electrical converter, a second optical-electrical converter and a laser diode, wherein the third optical fiber performs power cumulative summing operation by non-linear effect of simulated Raman scattering. The method includes: selecting the external optical transmitters and the first local optical transmitter, performing coupling output by the combiner, selecting the third optical fiber for power cumulative summing operation, selecting the optical filter, selecting the first optical-electrical converter, selecting the second local optical transmitter and the second optical-electrical converter, constructing the subtracter, and selecting the laser diode for converting electrical signals to optical signals. The optical neuron is novel and reasonable in design, convenient to implement, low in cost, power consumption and noise, rapid in information processing, high in expandability and practicality, good is using effect and convenient to popularize and use.

Description

technical field [0001] The invention relates to the technical field of optical communication, in particular to an optical neuron based on the stimulated Raman scattering effect in an optical fiber and a method for establishing the same. Background technique [0002] By simulating the hierarchical structure of the human brain, people construct a new computing system - artificial neural network. It is a type of artificial intelligence system that simulates the organizational structure, processing methods and system functions of the biological nervous system. Since the artificial neural network is a parallel distributed processor with a large number of connections, it can solve the practical problems of pattern recognition, perception and decision-making in complex environments by learning, compared with the mechanical execution of the program programmed in advance by humans. Computer, which has a better ability to solve problems and adapt to the environment. [0003] Due to ...

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Problems solved by technology

Since the electronic leads cannot short-circuit and cross each other, coupling will occur when the leads are close to each other, dispersion and delay will occur when the high-speed electric pulse propagates on the leads, and the fan-in and fan-out coefficients of electronic devices are low, making high-density electronic interaction Even with great technical difficulties

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