원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.9 No.4
2014.04
pp.51-62
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, an improved BP neural network model is proposed. In the model, the momentum factor can improve the training speed and avoid falling into local minimum. Steepness factor and adaptive learning rate can improve the convergence speed. The genetic algorithm is used to solve the problem of low training speed, low accuracy of prediction and easy to fall into local minimum of BP neural network. Then the improved BP neural network model is established to predict GDP of Anhui province. The result shows that it is better than the other models which are presented in this paper on forecasting GDP of Anhui province.
목차
Abstract
1. Introduction
2. Optimized BP neural network
2.1. The principle of BP neural network
2.2. Improved BP neural network
3. Model construct and prediction
4. Conclusion
References
1. Introduction
2. Optimized BP neural network
2.1. The principle of BP neural network
2.2. Improved BP neural network
3. Model construct and prediction
4. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보