| 基于VGG-16卷积神经网络的海水养殖病害诊断 |
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| 引用本文： | 李海涛,王腾,王印庚.基于VGG-16卷积神经网络的海水养殖病害诊断[J].计算机系统应用,2020,29(7):222-227. |
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| 作者姓名： | 李海涛 王腾 王印庚 |
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| 作者单位： | 青岛科技大学信息科学与技术学院, 青岛 266061;中国水产科学研究院 黄海水产研究所, 青岛 266071 |
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| 基金项目： | 农业部水产养殖数字农业建设试点项目(2017-A2131-130209-K0104-004) |
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| 摘 要： | 海水养殖生物在养殖过程中会受到各种病害的影响, 病斑特征的差异性非常适合利用图像识别技术做诊断. 基于以上需求, 本文设计了一种基于VGG-16卷积神经网络的海水养殖病害诊断模型, 并采用随机梯度下降算法、防止过拟合技术来改进模型. 实验结果显示, 本研究模型相比其他传统网络模型效果更好, 具有很高的识别精度、鲁棒性和泛化能力, 可以准确快速地进行病害诊断, 具有一定的扩展性和推广价值.
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| 关 键 词： | 海水养殖 病害诊断 卷积神经网络 VGG-16 |
| 收稿时间： | 2019/11/22 0:00:00 |
| 修稿时间： | 2019/12/16 0:00:00 |
Diagnosis of Marine Aquaculture Diseases Based on VGG-16 Convolutional Neural Network |
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| LI Hai-Tao,WANG Teng,WANG Yin-Geng.Diagnosis of Marine Aquaculture Diseases Based on VGG-16 Convolutional Neural Network[J].Computer Systems& Applications,2020,29(7):222-227. |
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| Authors: | LI Hai-Tao WANG Teng WANG Yin-Geng |
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| Affiliation: | College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China; Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China |
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| Abstract: | Marine aquaculture is affected by a variety of diseases, and the differences in lesion characteristics are very suitable for image recognition. Based on the above requirements, this study designs a marine breeding disease diagnosis model based on VGG-16 convolutional neural network, and uses a stochastic gradient descent algorithm and overfitting prevention technology to improve the model. The experimental results show that this model is better than other traditional network models, and has high recognition accuracy, generalization ability, and robustness. It can accurately and quickly diagnose diseases with certain expansion and promotion value. |
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| Keywords: | marine aquaculture disease diagnosis Convolutional Neural Network (CNN) VGG-16 |
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