Random discard neuron based on memristor

Abstract

The invention belongs to the related technical field of semiconductor information, and discloses a random discard neuron based on a memristor. The randomly discarded neuron is used for accepting or rejecting received signals; a discard control unit and an MOS switch are arranged; the discarding control unit is used for converting the received signal into a control instruction; therefore, the on-off of the MOS switch is controlled; a memristor, a divider resistor, a comparator and a register are included, the memristor is used for receiving the excitation signal and converting the excitation signal into a random current signal, the divider resistor is used for converting a random current signal into a random voltage signal, the comparator is used for comparing the random voltage signal witha preset threshold value, and the register is used for receiving the signal from the comparator and transmitting the signal as a control instruction to the MOS switch so as to control the MOS switchto be switched on or off. According to the invention, the identification precision of the neural network is improved, the requirement for artificial synapses of hardware is reduced, and the problems of over-fitting and nonlinear weight updating in the neural network training process are solved.

Description

technical field [0001] The invention belongs to the technical field related to semiconductor information, and more specifically relates to a method of randomly discarding neurons based on a memristor. Background technique [0002] With the great success of software-based artificial neural networks, in order to further improve the efficiency of neural networks, research on hardware accelerators for artificial neural networks has been started to achieve the purpose of increasing computing efficiency and reducing computing power consumption. [0003] At this stage, those skilled in the art have done some research, such as using a memristor with a simple sandwich structure to simulate most of the functions of synapses, and showing the continuous conductance of memristors under the action of artificial neurons. Increase or decrease, and realize the simulation of some important learning rules of the nervous system. However, due to the continuous progress of the algorithm, more re...

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Problems solved by technology

[0004] For the above defects or improvement needs of the prior art, the present invention provides a randomly discarding neuron based on a memristor, wherein the design of the structure and function of its key component discarding control unit makes the discarding neuron in the present invention At the same time, some neurons are randomly discarded, the recognition accuracy of the neural network is improved, and the requirements for hardware artificial synapses are reduced, thereby solving the over-fitting problem in the training process of the neural network and the problem of nonlinear weight update of the hardware artificial synapses. question

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