A recognition system based on memristor array

Abstract

The invention discloses a recognition system based on a memristor array, comprising an image acquisition module, a neural network module, a communication module, an FPGA module, a microprocessor module, a digital-to-analog conversion module and a memristor array; the neural network module It is connected with the image acquisition module, the neural network module is connected with the FPGA module through the communication module, and the FPGA module is connected with the microprocessor module and the digital-to-analog conversion module, respectively. The resistor array is connected with the digital-to-analog conversion module. The present invention builds a memristor array circuit interface, provides limited input for the memristor array circuit, and facilitates the richness research of the memristor technology by scientific researchers. It can replace a large number of electronic synaptic operations, which greatly saves the energy of researchers and the research cost of research institutions.

Description

technical field [0001] The invention relates to the technical field of neural networks, in particular, a recognition system based on a memristor array is designed, in particular a system constructed by upper computer software and a hardware circuit with an FPGA+embedded development board as the core. Background technique [0002] With the development of material technology, memristor, as a nonlinear resistor with memory function, has brought great changes in the structural system, principle and design theory of electronic circuits. It is the fourth type after resistance, capacitance and inductance. Passive basic circuit elements offer potential possibilities for the further development of storage and processing functions in electronics. Due to the limitation of biological neuroscience, although the memristor has been improved in the manufacturing process, its special biological characteristics, so there are still many scientific and technological problems to be solved in its...

AI Technical Summary

Problems solved by technology

Due to the limitations of biological neuroscience, although the memristor has been improved in the manufacturing process, there are still many scientific and technical problems to be solved for its special biological characteristics and its practical popularization in integrated circuits. It is not meaningful to use the device alone as a component

However, it is very difficult to integrate and use, and it has a very high threshold for scientific research work and practical application of memristors.

[0003] In recent years, the simulation of the equivalent circuit of the memristor array circuit has become more and more popular. The equivalent circuit is used to realize the memristor. There is no corresponding relatively breakthrough application development in the field of practical application. At the same time, in terms of practical application research, the high cost of memristor research often makes research institutions overwhelmed.

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