[1]陈玉佳,姜波.基于小波神经网络的加工番茄产量预测模型[J].深圳大学学报理工版,2015,32(5):546-550.[doi:10.3724/SP.J.1249.2015.05546]
　Chen Yujia and Jiang Bo.A wavelet neural network model for processing tomato yield forecasting[J].Journal of Shenzhen University Science and Engineering,2015,32(5):546-550.[doi:10.3724/SP.J.1249.2015.05546]
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基于小波神经网络的加工番茄产量预测模型()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第32卷
期数:
2015年第5期
页码:
546-550
栏目:
电子与信息科学
出版日期:
2015-09-18

文章信息/Info

Title:
A wavelet neural network model for processing tomato yield forecasting
文章编号:
201505014
作者:
陈玉佳; 姜波
新疆大学电气工程学院，乌鲁木齐 830047
Author(s):
Chen Yujia and Jiang Bo
School of Electrical Engineering, Xinjiang University, Urumqi 830047, P.R.China
关键词:
计算机神经网络; 小波分析; BP神经网络; 加工蕃茄; 小波神经网络; 产量预测模型
Keywords:
computer neural network;  wavelet analysis;  back propagation (BP) neural network;  wavelet BP neural network;  proressing tomato;  yield forecasting model
分类号:
S 11+6
DOI:
10.3724/SP.J.1249.2015.05546
文献标志码:
A
摘要:
基于小波分析和BP(back propagation)神经网络，建立加工番茄产量预测的小波神经网络模型，为制定合理的种植规划和管理决策提供科学依据．通过对新疆某番茄基地的历史数据进行分析，以温度、灌水量、氮肥、磷肥和钾肥的投入量作为模型的输入，番茄产量作为输出，建立5-10-1的预测模型．实验结果表明，预测值与实际值之间的最大相对误差仅为0.23%，收敛速度和预测精度均优于BP神经网络，实现了加工番茄产量的有效预测．
Abstract:
We propose a tomato yield forecasting model based on wavelet and back propagation (BP) neural network. By analyzing historical data of a tomato production base in Xinjiang, we build a neural network model with 5-10-1 structure where the climate temperature, irrigation amount and applied amount of chemical fertilizers function as inputs, and the yield prediction of tomato production act as the output. Experimental results show that the maximum relative error between the predicted and real output is only 0.23%. The convergence speed and prediction accuracy of the wavelet BP network are better than those of the conventional neural networks, indicating that it is a more effective model to predict tomato yield.

参考文献/References:

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备注/Memo

备注/Memo:
Received：2015-03-19；Accepted：2015-08-27
Foundation：National Natural Science Foundation of China（61064005）
Corresponding author：Processor Jiang Bo. E-mail:jiangbo@xju.edu.cn
Citation：Chen Yujia, Jiang Bo. A wavelet neural network model for processing tomato yield forecasting［J］. Journal of Shenzhen University Science and Engineering, 2015, 32(5): 546-550.（in Chinese）
基金项目：国家自然科学基金资助项目（61064005）
作者简介：陈玉佳（1989-），女（汉族），甘肃省武威市人，新疆大学电气工程学院硕士. E-mail:46360109@qq.com
引文：陈玉佳，姜波. 基于小波神经网络的加工番茄产量预测模型［J］. 深圳大学学报理工版，2015，32（5）：546-550.
更新日期/Last Update: 2015-09-13