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Network device, method for network synchronization, communication method, and devices

A technology for network devices and equipment, applied in the field of communication, can solve the problems of complex circuit design and poor scalability, and achieve the effects of simple structure, low energy consumption, and good brain information processing method.

Active Publication Date: 2017-01-11
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The circuit design in the existing chaotic neural network device is complex and the scalability is poor

Method used

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  • Network device, method for network synchronization, communication method, and devices
  • Network device, method for network synchronization, communication method, and devices
  • Network device, method for network synchronization, communication method, and devices

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Embodiment Construction

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0036] figure 1 It is a schematic structural diagram of a network device according to an embodiment of the present invention. figure 1 The network devices shown include:

[0037] N circuit units 101 connected in parallel, each circuit unit 101 includes a neuron 102 and at least two memristors 103, m memristors in the at least two memristors 103 are used to connect real-time neurons, at least two memristors The n memristors in the resistor are used to conne...

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Abstract

The embodiment of the invention provides a network device, a method for network synchronization, a communication method, and devices. The network device comprises N circuit units which are parallel, wherein each circuit unit comprises neurons and at least two memristors; m memristors in the at least two memristors are used for being connected with a real-time neuron; n memristors in the at least two memristors are used for being connected with a time lag neuron; each neuron comprises an RC oscillating circuit, a real-time signal processing unit and a time lag signal processing unit; one end of the RC oscillating circuit is grounded, and the other end is connected with the at least two memristors, the real-time signal processing unit and the time lag signal processing unit; the real-time signal processing unit is used for determining excitation of a real-time neuron state according to the real-time neuron state; and the time lag signal processing unit is used for determining the excitation of a time delay neuron state according to the time delay neuron state. According to the embodiment of the network device, the method for network synchronization, the communication method, and the devices, the memristors are taken as the synaptic connection of the neurons, a chaos neural network is simple in structure, and the expandability is high.

Description

technical field [0001] Embodiments of the present invention relate to the communication field, and more specifically, relate to a network device, a method for network synchronization, a communication method, and equipment. Background technique [0002] Chaos is a unique form of motion in dynamical systems, which widely exists in many natural phenomena in people's daily life, such as the butterfly effect. Chaos is a seemingly random irregular motion in a definite system. Chaotic motion has the characteristics of ergodicity and randomness, and can traverse all states without repetition within a certain range according to its own laws. The chaotic system is extremely sensitive to infinitesimal initial value changes and disturbances, and small changes in the input end will cause huge differences in the output end. [0003] Neural network is an algorithm and model that simulates and approximates the distributed parallel information processing of biological brain neuron network....

Claims

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Application Information

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IPC IPC(8): H04L9/00
Inventor 闫正毕舒展
Owner HUAWEI TECH CO LTD
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