基于卷积神经网络的花朵品种的识别

Jing-Ya YANG,Jing-Xia LI, Zhen-Yu WANG,Hai CHENG

Journal of Heilongjiang Hydraulic Engineering College(2019)

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Abstract
基于BP算法的卷积神经网络应用于图像识别领域,它有自动学习特征,比传统的图像识别方法的准确率更高.介绍了基于卷积神经网络的花朵品种的识别,构建CNN神经网络模型,运用BP算法优化参数,激活函数采用稀疏性较好的Relu调整输出,在牛津大学102种花卉的数据集的基础上,增加了5种,准确率为83.01%,测试随机采取5种花卉进行识别分类,准确率最高为85%.
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