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Artificial neuron-glial cell network optimization method and device

A glial cell and network optimization technology, applied in the field of neural network models, can solve problems such as unsatisfactory results

Pending Publication Date: 2022-06-28
HUAZHONG AGRI UNIV
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Problems solved by technology

However, these models only consider the abstract modeling of information transfer between neurons, and the results are not ideal when doing specific tasks.

Method used

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  • Artificial neuron-glial cell network optimization method and device
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  • Artificial neuron-glial cell network optimization method and device

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Embodiment Construction

[0061] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0062] The classic artificial neural network (ANN) uses each neuron as the basic computing unit, first weights and sums multiple input signals, and then adds a bias and outputs the result through the activation function. A simple abstraction of information processing and delivery.

[0063] However, the information in the neurons of the brain is transmitted by electrical signals and chemical substances—neurotransmitters. The generation...

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Abstract

The invention discloses an artificial neuron-glial cell network optimization method and device. The method comprises the following steps: constructing an artificial neuron-glial cell network model and setting updating rules of glial cells and neuron; performing real number coding on super parameters and a network topology structure of a basic calculation unit of the artificial neuron-glial cell network model to obtain an initial population, and transmitting initial values of individuals in the initial population into the artificial neuron-glial cell network model to train the network model by using the training data set; the fitness of each individual is calculated, an individual set is screened out through a roulette algorithm according to the fitness and the preset number of individuals, and new individuals generated after crossover variation in the individual set are continuously used for replacing the previous generation of individuals till the optimal individual is output. According to the method, the number proportion between neurons and glial cells, various parameters in interaction and the overall network structure are optimized through the evolutionary algorithm, and therefore the optimal network model is automatically searched.

Description

technical field [0001] The present invention relates to the technical field of artificial neural networks, in particular to a neural network model considering the interaction mechanism of astrocytes and neurons, and a method and device for optimizing the network topology. Background technique [0002] Although the existing artificial neural network models shine in many fields, these network models are still far from the actual biological nervous system in terms of structure and function. Glial cells are another type of cells in the nervous system besides neurons. In the central nervous system, the number of glial cells far exceeds the number of neurons. Recent studies have identified two-way communication between glial cells and neurons, which can be involved in learning and memory in the brain. Therefore, constructing an artificial neuron-glia network can better simulate the working mechanism of the brain nervous system, making the model more biologically interpretable. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06N3/12
CPCG06N3/086G06N3/126G06N3/045
Inventor 张红雨彭辉陈魏红麦可刘子玄许璇
Owner HUAZHONG AGRI UNIV
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