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Artificial neuron circuit with plastic threshold

A neuron and threshold technology, applied in the field of artificial neural network, can solve the problems of no hardware implementation, etc., and achieve the effect of simple hardware implementation, rich functions and low power consumption

Active Publication Date: 2020-05-29
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This function has not been reported in the current artificial neural network hardware implementation.

Method used

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  • Artificial neuron circuit with plastic threshold
  • Artificial neuron circuit with plastic threshold
  • Artificial neuron circuit with plastic threshold

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Embodiment Construction

[0022] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0023] The artificial neuron circuit with plastic threshold according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0024] figure 1 It is a schematic diagram of the threshold plastic artificial neuron circuit structure of an embodiment of the present invention.

[0025] like figure 1 As shown, the artificial neuron circuit 10 includes: an accumulating module 100 , a threshold issuing module 200 and a threshold adjusting module 300 .

[0026] Wherein, the accu...

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Abstract

The invention discloses an artificial neuron circuit with a plastic threshold, which comprises an accumulation module, a threshold issuing module and a threshold adjusting module, and is characterizedin that the accumulation module is connected with the threshold issuing module and is used for accumulating signals generated by synapses and sending the signals to the threshold issuing module; thethreshold value issuing module is used for receiving the signals output by the accumulation module and comparing the received signals with a preset threshold value, if the received signals are largerthan the preset threshold value, neurons are activated, and if the received signals are smaller than the preset threshold value, the neurons are not activated; the threshold value adjusting module isconnected with the threshold value issuing module and used for adjusting the size of a preset threshold value according to a learning algorithm. In the training process of the circuit, synapses and neurons are adjustable at the same time, so that the artificial neural network has stronger learning ability, and is richer and more flexible in function and more intelligent.

Description

technical field [0001] The invention relates to the technical field of artificial neural networks, in particular to an artificial neuron circuit with plastic threshold. Background technique [0002] The artificial neural network that simulates the information processing method of the biological neural network is considered to be the most effective way to solve the problems of data transfer between computing and storage, and the speed mismatch between computing units and storage units in the von Neumann information processing architecture. Although the powerful computing capabilities of artificial neural networks have been verified in various industries, compared with biological neural networks, artificial neural networks still have a very obvious gap in adaptive learning ability, fault tolerance and reasoning ability. [0003] In order to develop an artificial nervous system that can match the intelligence of a biological neural network or even the human brain, in addition t...

Claims

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Application Information

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IPC IPC(8): G06N3/063
CPCG06N3/063Y02D10/00
Inventor 李辛毅钱鹤吴华强高滨唐建石
Owner TSINGHUA UNIV
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