Simulation of concrete soft degree alarm network model in water conservancy safety
In order to improve the accuracy of concrete softness degree detection in water conservancy safety monitoring,this study designed a concrete softness degree alarm network model based on neural network.Taking the Matlab 7.1 simulation platform as an example,a series of comparative experiments were designed to compare and analyze the performance of the neural network model and the traditional model in terms of positioning accuracy,robustness and bit error rate of communication signals by simulating various water environment and interference conditions.The results show that the neural network model is superior to the traditional model in every index,which proves its superiority in water conservancy safety monitoring.
water conservancy securityalarm network modelneural network
NETL
NSTL
万方数据
