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浏览/检索结果: 共3条，第1-3条 帮助 限定条件 发表日期：2010    内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Dynamic hierarchical committee for multiple agent decision in wireless sensor networks - art. no. 635755 会议论文 Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, Pts 1 and 2, 6th International Symposium on Instrumentation and Control Technology, Beijing, PEOPLES R CHINA, Web of Science Wang Xue; Wang Sheng; Jiang Aiguo 收藏  |  浏览/下载：5/0  |  提交时间：2017/06/15 wireless sensor networks  dynamic hierarchical committee  decision  mobile agent  Computer Science, Artificial Intelligence  Engineering, Electrical & Electronic  Instruments & Instrumentation  Optics  Imaging Science & Photographic Technology   The costs prediction of AOD furnace based on improved RBF neural network (EI CONFERENCE) 会议论文 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Na T.; Zhang D.-J.; Hui L. 收藏  |  浏览/下载：9/0  |  提交时间：2013/03/25 In order to predict the cost  a model of cost prediction was set up based on adaptive hierarchical genetic algorithm and RBF neural network. Hierarchical genetic algorithm could optimize the topology and the parameters simultaneously. Compared with simple genetic algorithm  it has more efficiency in not only accelerating and stabilizing the parameters training but also determining the structure of the network. Adaptive crossover and mutation probability could accelerate the speed and avoid prematurity. The model was tested by five samples. The results showed that the prediction model has high prediction accuracy  which indicated that it was applicable to predict the cost by the model. 2010 IEEE.   A new hierarchical genetic algorithm for low-power network on chip design 会议论文 2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010, Dalian, 2010-01-01 作者:  Qi J.;  Zhao H.;  Wang J.;  Li Z. 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/24