摘要
极限学习机(ELM)学习速度快且泛化性好,极易产生惟一最优解,适用于虫害预测。通过实情验证,在广西宜州三化螟虫害预测预报中,ELM预测精度较高,能够满足虫害预测对准确率和实时性的要求,可作为一种新的虫害预测方法。
Extreme learning machine （ELM） is easy to generate a unique optimal solution and suitable for the pest forecast with fast speed of learning and good generalization. Through the truth verification, ELM had high prediction accuracy in the Tryporyza incertulas forecast in Yizhou city of Guangxi, which could meet the requirements about accuracy and real-time, and it will be a new method in the pest forecast.
出处
《湖北农业科学》
2015年第5期1205-1207,共3页
Hubei Agricultural Sciences
基金
广西教育厅科研项目(201010LX642)
关键词
极限学习机(ELM)
三化螟
预测
extreme learning machine（ELM）
Tryporyza incertulas
forecast
