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Genetic design method of spiking neural P system

A technology of pulse nerve and design method, which is applied in the field of genetic design of pulse nerve membrane system, can solve time-consuming and labor-intensive problems, achieve the effect of shortening time, avoiding manual derivation, and improving design efficiency

Inactive Publication Date: 2020-03-24
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

The current proposals require not only solid professional knowledge, but also careful and repeated derivation and argumentation, which is time-consuming and labor-intensive.

Method used

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  • Genetic design method of spiking neural P system
  • Genetic design method of spiking neural P system
  • Genetic design method of spiking neural P system

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Embodiment Construction

[0036] There is no unified fitness function in the existing spiking membrane system design as the basis for the evolution of the initial spiking membrane system to the optimal spiking membrane system. Evolutionary algorithms are combined to guide the evolution of the initial spiking neurolemma system to the optimal spiking neurolemma system. Therefore, the present invention designs a fitness function for the evolution of the spiky membrane system, and combines the spiky membrane system with the genetic algorithm to realize its evolution to the optimal spiky membrane system.

[0037] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0038] The purpose of the present invention is to provide an evolutionary spiking nerve membrane system based on a genetic algorithm, which can realize the automatic design of the spiking nerve membrane system by using the genetic algorithm under the condition of random...

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Abstract

The invention discloses a genetic design method of a spiking neural P system. The genetic design method comprises the steps of randomly generating the spiking neural P system to form a population; calculating the fitness value of each spiking neural P system in the population; replacing the spiking neural P system of which the fitness value is smaller than a fitness threshold value or the fitnessvalue is a null value; and designing all spiking neural membrane systems in the population by adopting a genetic algorithm. Compared with a traditional manual design method, the method has the advantages that a unified fitness function is provided to serve as the basis of population evolution, the genetic algorithm is applied to search for the optimal spiking neural P system in the initial population, and automatic optimization of the spiking neural P system is achieved. According to the method, errors easily occurring in the manual derivation process can be effectively avoided, and the time required for designing the spiking neural P system model is greatly shortened.

Description

technical field [0001] The invention relates to the technical field of natural computing, in particular to a genetic design method of a pulse neural membrane system. Background technique [0002] As an important research field of computer science, membrane computing aims to study the computational model abstracted from the structure and function of living cells and from the collaboration of cell groups such as tissues and organs. The computational model is called membrane system or P system. . Membrane systems are a kind of distributed and extremely parallel computing models. A large number of studies have shown that many simple membrane systems have the same computing power as Turing machines in theory. Membrane computing is a very active research field at present. Researchers use mathematics, formal language and other tools to carry out theoretical research on membrane computing, propose various P system models and obtain many research results. The ones proposed so far r...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/06G06N3/12
CPCG06N3/049G06N3/061G06N3/126
Inventor 荣海娜董建平张葛祥
Owner SOUTHWEST JIAOTONG UNIV
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