Network on chip for enterprise information management and integration in intelligent physical systems

被引:19
|
作者
Chen, Guobin [1 ]
Li, Shijin [2 ]
机构
[1] Rongzhi Coll Chongqing Technol & Business Univ, Chongqing Key Lab Spatial Data Min & Big Data Int, Chongqing, Peoples R China
[2] Yunnan Univ Finance & Econ, Acad Affairs Off, Kunming, Yunnan, Peoples R China
关键词
Eigen Efficient Analysis; ira; computational Algorithms; intelligent Physical System and Deep Learning Reinforcement;
D O I
10.1080/17517575.2020.1720828
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, solution of discretisation operator technique with circular (DOTWC) approach, and runge-kutta implicit are presented for the Eigen efficient analysis, in this paper based on the various surveys it has been analysed that the efficiency is considered as low and computational burden terms to be high. Henceforth, the implicitly of the restarted Arnoldi (IRA) with intelligent physical system (IPS) with IOT algorithm is implemented for the computational Eigenvalues of critical solution operators in discretized matrices to optimise efficiency and computational burden. Furthermore, we have proposed the Advancement Deep Learning Reinforcement (ADLR) algorithms to improve the efficiency and existing of scalability of the intelligent physical system.
引用
收藏
页码:935 / 950
页数:16
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