Application Of The Decision Sequence Model Based On Biological Neural Network In Episodic Memory

The UAV system is an important method for carrying out information countermeasures,field detection and fire strikes.The most important technical feature of UAVs differs from manned ones is "autonomy”,and an important development direction for achieving"autonomy" is to increase the intelligence of drones and achieve autonomous control of their systems.The autonomous control of multi-drone systems requires coordination of multiple UAVs with limited autonomous capabilities without centralized command,resulting in an overall effect through the interaction of information,thereby accomplishing the desired tasks with minimal human intervention.The main research content of UAV autonomous control system is interactive,communication,cooperation,and control between UAVs.These can all be inspired by the self-organizing mechanism of biological neural network brain decision-making.This article first elaborates the domestic and foreign status quo and the research significance of multi-UAV autonomous control.Then the article's article viewpoints are derived from the biological self-organizing mechanism and the mapping mechanism of UAV systems,namely the scenario memory decision model based on biological neural network.The application of multi-UAV system is specifically represented by the mission planning and formation flight of multi-UAV systems.This article first introduced the biological characteristics of biological neural networks,including the biological basis of the mechanism model of episodic memory and associative memory,and the basic principles of the neural network decision model,and how the neurons work together to achieve group coordination,thus successfully achieving autonomous decision-making.In the process of brain decision-making,the plasticity of synaptic connections and the coordinated excitation among neurons play a key role in the expression of decision information.This paper establishes a neural network autonomous decision-making neural dynamics model that is consistent with the results of biological experiments,studies the role of episodic memory in the brain's decision-making process,and analyzes the influence mechanisms of various synaptic characteristics and neuronal expression patterns in brain decision-making processes.Based on the research of biological neural networks,this paper proposes a new swarm intelligence algorithm,which is a multi-UAV cooperative operation strategy based on autonomous decision model of neural network.In order to achieve successful group coordination,we design each drone to perceive the environment and the behavior of its neighboring drones,and then independently determine their own behavior,and then interact with other drones to realize the relationship with the creatures.Neural Network Behavior Similar Global Optimization.Simulations show that even in a dynamically changing environment,this kind of neural network inspired cooperative operation strategy also performed well.Its effectiveness is also verified through numerical simulation of the coordination of multiple UAVs.