An intelligent control method based on artifi cial neural network model
LiangKai Zhou
DanHan
QinZheWang
HaiBoWang
DOI: https://doi.org/10.59429/esta.v10i4.1646
Keywords: Artifi cial neural network; The model; Control method; Optimization scheme.
Abstract
The topology structure of the artifi cial neural network is an intelligent control model, which is used for intelligent vehicle control system and household sweeping robot. When setting the intelligent control system, the connection point of each network is regarded as a neuron in the nervous system, and each connection point has input and output functions. Only when the input of nodes reaches a certain threshold can the output function of nodes be stimulated. Using the networking mode of artifi cial neural network model, the mobile node can output in multiple directions. If the input direction of a certain path is the same as that of other nodes, it can choose to avoid and choose another path. The weighted value of each path between nodes is diff erent, which means that the infl uence of the front node on the current node is diff erent. The control method based on artifi cial neural network model can be applied to vehicle control, household sweeping machine and other fi elds, and a relatively optimized scheme can be obtained from the aspect of time and energy consumption.
References
[1] JianQin Li .Real-time performance prediction of TBM based on dual neural network[J]. Journal of Mechanical Engineering 2023:3-5.
[2] Feng Wang.Research on optical performance monitoring of optical communication system based on artificial neural network[D].SuZhou University
2023,01:1-8.
[3] ErBo Ruan.Research on engine performance and emission prediction based on artifi cial neural network[D].JiLin University 2022,01,2-4.
[4] NaiMan Tian,HengXing Lan etc.Performance comparison of artifi cial neural network and decision tree model in landslide susceptibility analysis[J].Journal
of Geo-information Science,2020,22(12): 2304-2309.