Earticle

초록

영어

To solve a state transfer matrix using a Markov model, an improved genetic algorithm approach is proposed. A Markov prediction model is employed to study structures in the SME technical efficiency and scale gains calculation method. The obtained results are compared to the data shown in the China Statistical Yearbooks. It is found that our proposed genetic algorithm approach provides references for optimizing an agriculture SME industrial structure and hence improves the prediction precision.

목차

Abstract
 1. Introduction
 2. Markov Prediction Method
  2.1. Markov Process
  2.2. Transfer Probability Matrix of the States
  2.3. Markov Prediction Model
  2.4. Method for Determining the Transfer Probability of the Markov States
 3. Our Proposed Improved Genetic Algorithm
 4. Computer Numerical Simulation Results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Wei Chuan-li [ School of Economic and Management, Harbin Engineering University, Nantong Str. 145, Harbin 150001, China, Schools of Public Finance and Administration, Harbin Commercial University, Tongda Str. 138, Harbin 150028, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605