The Metabolism Grey Prediction Model Based on Big Data and Internet of Things Technology

Abstract

In view of the uncertainty and diversity of the metabolic grey prediction model in the prediction process, resulting in poor prediction effect, a metabolic grey prediction model based on big data and Internet of things technology is constructed. Establish the aerobic metabolic process of human telecontrol and put forward the detection index of aerobic metabolic cycle function in human telecontrol; on this basis, use the metabolic grey prediction model analysis algorithm to determine the active intrusion intention of complex network, establish the intrusion intention attack behavior set function, establish the internal operation architecture under the technology of big data and Internet of things, and realize the construction of metabolic grey prediction model. The experimental results show that the constructed model can realize data prediction, with high confidence level and good effect.

Forecasting Travel Sentiment under the Shock Effects of COVID-19 and Vaccination Using Grey Prediction Models

“…Te grey prediction model has the ability to directly transform a time series model into diferential equations, creating a developed dynamic model of an abstract system [48]. As a result, several academics have widely used grey prediction models in a variety of domains, including population structure, energy consumption and demand, and Internet of things technology [49][50][51][52]. Because of these qualities, grey prediction models have been used in tourism, including tourism demand [53,54], annual foreign tourist arrivals [55], and tourism volumes [56].…”