Face recognition classifier design based on the genetic algorithm and neural network
文献类型：会议论文
| 作者 | Li N(李娜); He, Peng; Zhao Q(赵乾)
|
| 出版日期 | 2014 |
| 会议名称 | 2014 International Conference on Applied Sciences, Engineering and Technology, ICASET 2014 |
| 会议日期 | July 28-29, 2014 |
| 会议地点 | Qingdao, China |
| 关键词 | Algorithms Genetic algorithms Neural networks |
| 页码 | 869-872 |
| 中文摘要 | In the course of the face feature match, many classifiers have been designed. The neural network is usually selected as a classifier because of its validity and universality, whereas its training time, training epochs, and its convergence, all are not satisfied to us. It is often influenced by the author's experience. In the case, a collaborative genetic algorithm and neural network is presented as a new face recognition classifier. The one thing is to train the NN weights by the GA until the stopping criterion is met, and the next thing is to use the BP algorithm to continue to train the network. The training time and training epochs have been improved in the experiment of the face recognition on ORL face database. The simulation shows the validity of methods. |
| 收录类别 | EI |
| 产权排序 | 3 |
| 会议主办者 | Qingdao University |
| 会议录 | Advanced Materials Research
 |
| 会议录出版者 | Trans Tech Publications Ltd |
| 会议录出版地 | Zurich-Durnten, Switzerland |
| 语种 | 英语 |
| ISSN号 | 1022-6680 |
| ISBN号 | 978-3-03835-184-9 |
| 源URL | [http://ir.sia.cn/handle/173321/15135]  |
| 专题 | 沈阳自动化研究所_智能检测与装备研究室 |
| 推荐引用方式 GB/T 7714 | Li N,He, Peng,Zhao Q. Face recognition classifier design based on the genetic algorithm and neural network[C]. 见:2014 International Conference on Applied Sciences, Engineering and Technology, ICASET 2014. Qingdao, China. July 28-29, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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