摘要
讨论模糊神经网络在股价预测中的应用,模糊神经网络克服模糊规则产生对专家的依赖性及模糊集的非自适应性,隶属函数的自适应和模糊规则的自组织通过神经网络的自学习和竞争获得。通过一个股价预测实例验证了该方法的有效性。
The main purpose of this paper is to investigate the application of the fuzzy neural network for stock price forecasting. It has overcome the limitation such as the dependency on experts for fuzzy rule and no self-adaptation for fuzzy set. The self-regulation of membership functions and the self-organization of fuzzy rule are realized by the self- learning of the neural networks. This approach has been proven by experiments.
出处
《系统工程》
CSCD
北大核心
2004年第2期107-109,共3页
Systems Engineering
基金
国家自然科学基金资助项目(79970079)
