원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.12
2015.12
pp.295-304
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In the modern supply chain management, optimizing supply chain can reduce the cost of the enterprise. In the optimization of supply chain, the inventory optimization is a very important part. Through forecasting the inventory amount, we can reduce the cost of the inventory. And we also can optimize the supply chain. Because the supply chain network is complex, we use the chaos theory to study and predict the inventory. In this paper, we put forward a chaotic forecasting method which is based on the BP neural and genetic algorithm. This new method is BP-GA chaos prediction algorithm. We use the method to predict the inventory amount. The experiment shows that the method has achieved good forecasting effect.
목차
Abstract
1. Introduction
2. The Chaotic Prediction Method
3. The Chaotic Forecasting Method BP-GA Chaos Prediction Algorithm which is based on the BP Neural Network and the Genetic Algorithm
4. The Numerical Analysis
5. Conclusion
References
1. Introduction
2. The Chaotic Prediction Method
3. The Chaotic Forecasting Method BP-GA Chaos Prediction Algorithm which is based on the BP Neural Network and the Genetic Algorithm
4. The Numerical Analysis
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보