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Neural network pulse synchronization method and system containing clustering topology coupling

A technology of coupling neural network and neural network, applied in the field of neural network pulse synchronization method and system, can solve the problems of high cost and high conservatism, and achieve the effect of saving control cost, high compatibility and reducing conservatism

Active Publication Date: 2020-08-11
JIANGNAN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Therefore, the technical problem to be solved by the present invention is to overcome the problems of high cost and high conservatism in the prior art, thereby providing a neural network pulse synchronization method and system with low cost and reduced conservatism including cluster topology coupling

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  • Neural network pulse synchronization method and system containing clustering topology coupling
  • Neural network pulse synchronization method and system containing clustering topology coupling
  • Neural network pulse synchronization method and system containing clustering topology coupling

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Embodiment 1

[0028] Such as figure 1 As shown, the present embodiment provides a neural network pulse synchronization method with cluster topology coupling, including the following steps: Step S1: establishing an isolated neural network model with random disturbance and a derivative coupled neural network model with multiple clusters; Step S2: Establish an error network model according to the isolated neural network model and the derivative coupled neural network model, and design a pulse pinning controller according to the error neural network model topology and pulse signal; Step S3: Select according to the error network model Corresponding functions, combined with the pulse pinning controller to realize the clustering synchronization between the derivative coupling neural network model and the isolated neural network model; Step S4: build the neural network model and use the neural network model to carry out numerical simulation, verify the The effect of cluster synchronization between ...

Embodiment 2

[0111] Based on the same inventive concept, this embodiment provides a neural network pulse synchronization system with cluster topological coupling. The principle of solving the problem is similar to the neural network pulse synchronization method with cluster topological coupling, and the repetition is no longer repeat.

[0112] This embodiment provides a neural network pulse synchronization system containing cluster topology coupling, including:

[0113] Building blocks for building isolated neural network models with random perturbations and derivative coupled neural network models with multiple clusters;

[0114] A setting module is used to establish an error network model according to the isolated neural network model and the derivative coupled neural network model, and design a pulse pinning controller according to the topology of the error neural network model and the pulse signal;

[0115] A clustering synchronization module, configured to select a corresponding func...

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Abstract

The invention relates to a neural network pulse synchronization method and system containing clustering topology coupling. The method comprises the steps that an isolated neural network model with random disturbance and a derivative coupling neural network model with multiple clusters are established; establishing an error network model according to the isolated neural network model and the derivative coupling neural network model, and designing a pulse containment controller according to a topological structure of the error neural network model and the pulse signal; selecting a correspondingfunction according to the error network model, and realizing clustering synchronization between a derivative coupling neural network model and an isolated neural network model in combination with thepulse containment controller; and establishing a neural network model and performing numerical simulation by using the neural network model to verify a clustering synchronization effect between the derivative coupling neural network model and the isolated neural network model. The method is low in cost and is beneficial to accurately controlling the synchronization rate.

Description

technical field [0001] The invention relates to the technical field of complex network synchronization, in particular to a neural network pulse synchronization method and system including cluster topology coupling. Background technique [0002] During the past two decades, discussions on complex systems and complex dynamic networks have become a hot topic in information and network science research. Among them, the synchronization phenomenon of complex networks, as a kind of cluster behavior, has attracted the attention of many researchers. Synchronization of complex networks has been applied in many fields such as medical care, parallel image capture and processing, scientific indexing networks, smart grids, etc. [0003] In fact, only a few complex networks can achieve synchronization by adjusting system parameters, such as coupling strength and coupling weights, whereas most networks in the real world and artificial societies cannot achieve synchronization without any in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06K9/62G06F30/27G06F17/13G06F111/10
CPCG06N3/08G06F30/27G06F17/13G06F2111/10G06N3/045G06F18/23
Inventor 汤泽轩德利
Owner JIANGNAN UNIV
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