期刊论文

Peng ChangHui

英文

科学通报(英文版)

2095-9273

2010

55

34

3853-3863

10.1007/s11434-010-4183-3

We thank two anonymous referees for their constructive suggestions and an editor （Brian Doonan） for help with English revision. This work was supported by the Introducing Advanced Technology Program （948 Program） （2010-4-03）, the New Century Excellent Talents Program from the Ministry of Education, China （NCET-06-0715）, the Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province, and the Furong Scholar Program.

本校为第一且通讯机构

Fields that employ artificial neural networks (ANNs) have developed and expanded continuously in recent years with the ongoing development of computer technology and artificial intelligence. ANN has been adopted widely and put into practice by researchers in light of increasing concerns over ecological issues such as global warming, frequent El Ni?o-Southern Oscillation (ENSO) events, and atmospheric circulation anomalies. Limitations exist and there is a potential risk for misuse in that ANN model parameters require typically higher overall sensitivity, and the chosen network structure is gen...

采用人工的神经网络(ANN ) 的领域与计算机技术和人工智能的进行中的开发在最近的年里连续地发展了并且膨胀。ANN 广泛地被采用了并且考虑到在象全球温暖的、经常的 El Ni 那样的生态的问题上增加担心由研究人员实行了 ?o 南部的摆动(ENSO ) 事件，和大气的发行量异例。限制存在并且为误用有潜在的风险因为 ANN 模型参数要求典型地更高的全面敏感，和选择网络结构通常更依赖于单个经验。然而，当为短期的预言使用了时， ANN 是相对精确的；尽管有作为长期的试验性的研究的学习和偏爱的基础赞成相互作用的效果的全球气候变化研究。当处理非线性的问题时， ANN 比许多传统的方法仍然是一种更好的选...