원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.9
2015.09
pp.127-136
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보