Establishment of NH3-N Prediction Model in Aquaculture Water Based on ELMAN Neural Network

• 作 者: Wang Xiang He Jixiang She Lei
• 机 构: FisheriesResearchInstitute
• 出 处: 气象与环境研究：英文版
• 发表日期: 2015年10期
• 关键词: ELMAN神经网络 养殖水体 预测模型 氨氮含量 人工神经网络模型 输入变量 输出变量 模型模拟 Aquaculture water Water qualit
• 基金项目: Supported by Cultivation Project of Key and Emerging Disciplines, An- hui Academy of Agricultural Sciences （14A0520） , Youth Innovation Foundation Project of Dean, Anhui Academy of Agricultural Scienc

In the present study,ELMAN artificial neural network model was developed to predict the change of NH3-N in aquaculture water. The indexes including feed ration,dissolved oxygen in water,water temperature,air temperature,water turbidity,rainfall were recor