| 刘明，李由明，王平，李晓梅.基于小波分解的凡纳滨对虾养殖水体水质的仿真研究[J].广东农业科学,2013,40(17):170-172 |
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基于小波分解的凡纳滨对虾养殖水体水质的仿真研究 |
| Phantom study on water quality dynamic in Litopenaeus vannameiis's ponds based on wavelet analysis |
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| DOI： |
| 中文关键词: 小波分解 ARMA 模型 神经网络模型 凡纳滨对虾 亚硝酸盐 |
| 英文关键词: ARMA Model Neural Network Model Litopenaeus vannameiis nitrites |
| 基金项目: |
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| 摘要点击次数: 1369 |
| 全文下载次数: 470 |
| 中文摘要: |
| 依据凡纳滨对虾养殖水体中测定的水质数据，利用ARMA 模型和神经网络模型两种方法对水质动态进行预测和分
析，提出了一种基于小波分解且针对凡纳滨对虾养殖水体水质预测的ARMA 模型，且ARMA（p，q）模型中的p 值和q 值分别为4和2。预测结果表明，所建立的预测模型精度较高。将ARMA 模型预测的结果与神经网络预测的结果进行了对比后发现，基于小波分解的ARMA 模型对对虾养殖水体水质预测的有效性和准确性优于神经网络预测模型。 |
| 英文摘要: |
| Dynamics of water quality was predicted by ARMA Models and Neural Network Models in this paper. A ARMA Model for water quality of Litopenaeus vannameiis's ponds has been raised based on data from shrimps ponds，and the values of p and q of ARMA(p, q) were 4 and 2 respectively. Results of prediction indicated that accuracy of ARMA Model was high. Moreover, comparison of effectivity and accuracy between ARMA Model and Neural Network Models indicated that the former was better for prediction of water quality of shrimp ponds. |
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