The Security Situation Prediction of Network Mathematical Neural Model Based on Neural Network

Abstract

AbstractWith the gradual development of the modern neural network field, the construction of network mathematical models related to neural networks has become more important, but when using network mathematical models, it is often impossible to achieve strict and accurate theoretical support and data analysis. For the security situation prediction, specific strategies to improve the neural model of network mathematics should be proposed to improve the status quo that network mathematics cannot meet the status quo of scientific research. In the quantitative evaluation of the factors to be considered when selecting the target, the mathematical security situation prediction method will be used efficiently, and the membership of each factor will be determined according to the method and principle of the network mathematical neural model. Through functional analysis and quantitative selection, a mathematical model is established, and the BP algorithm is combined with the neural network algorithm. This paper takes neural network as the theoretical basis of the research, uses BP fuzzy neural algorithm as the main research algorithm, and integrates its important content to analyze and research the optimization of adaptive enhancement algorithm. This paper takes the classical network mathematical neural model as the research object, and optimizes and improves the security situation prediction of the network mathematical neural model. The BP fuzzy neural algorithm in the neural network can be regarded as a kind of node sorting algorithm, so it can be used to construct the network mathematical neural model. The experimental results show that this research uses the network mathematical neural model and the BP fuzzy neural algorithm parameters to estimate the neural network prediction value and calculate the safety situation prediction, and uses the neural network method to test the network mathematical neural model from the safety situation prediction error of the BP fuzzy neural algorithm. The method in the target selection is correct and feasible.KeywordsNeural networkNetwork mathematicsNeural modelSecurity situation