Earticle

초록

영어

In this paper, a new chaotic neural network model is proposed, we introduce a Bessel function as self-feedback term in this model, Compared with other chaotic neural network model, owing to the Bessel function is a nonlinear function with good nature, and it has stronger function approximation ability, so that the novel chaotic network model has stronger traversal search ability. When it is applied to solve combinatorial optimization problems, the simulation results show that the network has better ability to avoid network convergence to local minima if the appropriate coefficient of expansion and the network has been taken, so the efficiency of network optimization capability is improved.

목차

Abstract
 1. Introduction
 2. Chaotic Neural Network of Bessel Function Self-feedback
  2.1. Bessel Function
  2.2. Chaotic Neuron Model of Bessel Function Self-feedback
  2.3. Chaotic Neuron Model of Bessel Function Self-feedback
  2.4. Network Energy Function and Stability Analysis
 3. Bessel Function Self-feedback Chaotic Neural Network Applications
  3.1. Application to Function Optimization
  3.2. Application to Combination Optimization (TSP)
 4. Conclusion
 References

키워드

저자

• Yonggang Ye [ School of Basic Science, Harbin University of Commerce Harbin Heilongjiang China 150028 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605