Research And Application Of Decision-making Network Model Based On Cerebral Neuron Sequence Memory

The application of human-like intelligence to machines has always been a frontier in the field of artificial intelligence.However,by studying interdisciplinary subjects such as cognitive neurophysiology and electrophysiology,it is possible to use physics,mathematics and other engineering disciplines more flexibly to analyze How does the brain work?With the development of the times and the continuous advancement of technology,it is possible to use mathematical and biological models to mimic the brain's operating mechanism systematically,and to establish a systematic computing model to be applied to machines to make machines more intelligent.Humanize.According to the memory model and decision-making principle of the brain,a long-term sequential memory decision model was established from the perspective of biological neurology.To give a simple example,this model is used to coordinate the multi-objectives of aircraft clusters,so that the drone autonomously adjusts the learning and uses the previous memory experience to optimize the control.To clarify the more intelligent features of this new network model.This article expands from the following:The first part focuses on the background of this study,the status of research at home and abroad,the study of the way the brain operates in cognitive neurophysiology and electrophysiology,and the research ideas and content of this article.Then he introduced some basic knowledge of biology and basic concepts needed to establish a model.These contents mainly include the introduction of cognitive neuroscience,the working principle of brain neurons,the transmission of nerve signals,the transmission of neurotransmitters,and the knowledge of electrophysiology.The brain's memory classification and storage,as well as the working principle of decision making.Based on the results of neurobiology,the neural network structure of sequence memory was constructed,and the corresponding neurodynamic model was established.The effect of different neuron modules on sequence memory was analyzed.Then the sequence memory was presented by simulation calculation.A competition-based brain initiative conscious decision-making neural network structure was constructed and a biological dynamics model was established.The competition mechanism between active consciousness and stimuli response was analyzed.Finally,the model decision competition is explained through simulation.Finally,the role of contextual memory in active consciousness decision-making is studied.This section integrates the sequential memory network model and the brain decision-making neural network model to obtain a new decision-making neural network model based on sequence memory.This model uses context memory as the Top-down control signal for active awareness decision-making to realize active awareness decision-making.Then we will use the multi-aircraft control example based on the memory decision model control method to illustrate the intelligence of this model.