Applying Extreme Learning Machine to Plant Species Identification

摘要：

In this paper,a recently developed machine learning algorithm referred to as the Extreme Learning Machine (ELM)is used to classify plant species through plant leaf Gabor texture feature.A comparative study on system performance is conducted between ELM and the main conventional neural network classifier -Backpropagation Neural Networks.Results show that the classification accuracy of ELM is higher than that of BP network.For given network architecture,ELM does not have any control parameters (i.e,stopping criteria,learning rate, learning epoches,etc)to be manually tuned and can be implemented easily.

关键词： Extreme Learning Machine plant species identification Gabor wavelet texture .

作者: Chuan-Min Zhai Ji-Xiang Du

作者单位: Department of Computer Science and Technology Huaqiao University Quanzhou,Fujian 362021,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 879-884

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）