The Classifier Design of Plant Species Based on Artificial Neural Network

摘要：

　　A computer-based automatic recognition of is the development trend of the plant taxonomy,this paperpresents a classifier design of plant species based on artificial neural network.The experiments carried out thepreprocessing and feature extraction on the leaf images,then design three different plant species classifiers basedon the different artificial neural network models. By adjusting the parameters of the artificial neural network tomake the learning and training get the best results.Experimental results show that classifiers of plant speciesbased artificial neural network all can achieve recognition rate of more than 80％, the classification result is good,artificial neural network is feasible in plant species classification, The experimental result is a theoreticalfoundation for the further research of plant automatic classification system.

关键词： artificial neural network pattern recognition plant classification classifier

作者: Yixuan WANG Jiangming KAN Junmei ZHANG Kai YANG

作者单位: Beijing Forestry University Beijing , China

会议类型: 国内会议

会议名称: 2011年青年通信国际会议(ICYC2011)

会议地点: 澳门

会议语种:英文

页码: 217-220

在线出版日期: 2011-07-22（万方平台首次上网日期，不代表论文的发表时间）