Earticle

초록

영어

With the rapid and bursting development of computer science and related technology, the design and optimization of network topology has been a most important issue for thee researchers to solve. However, the increasing needs of the current control schemes have already been shown. In this paper, we theoretically analysis the features of neural network structure and convex optimization related method. There are a lot of shortcomings but the cable network should be restricted the wiring in some situations, for example, wiring, reroute workload big, easy to damage, in the network, each node cannot move and so on. With the mathematical optimization, game theory, mathematical economics and optimal control theory to the development of disciplines, convex analysis are increasingly brought to the attention of the people. Our proposed methodology combines the neural network and optimization theory to obtain better performance, the experimental result shows the performance of our approach compared with other state-of-the-art algorithms.

목차

Abstract
 1. Introduction
 2. Related Knowledge and Prior Research
  2.1. The Principles of Deep Neural Network
  2.2. The Concepts of Mathematical Convex Optimization
 3. The Proposed Methodology
 4. Experimental Analysis and Simulation
 5. Conclusion and Summary
 References

키워드

저자

• Gaoli Zhao [ Henan Institute of Science and Technology, Henan, Xinxiang, Wuhan University of Technology, Hubei, Wuhan ]
• Junping Song [ Henan Institute of Science and Technology, Henan, Xinxiang ]
• Wei Chen [ Wuhan University of Technology, Hubei, Wuhan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605