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浏览/检索结果: 共7条，第1-7条 帮助 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 Interactive Multiobjective Optimization: A Review of the State-of-the-Art 期刊论文 IEEE ACCESS, 2018, 卷号: 6, 页码: 41256-41279 作者:  Xin, Bin;  Chen, Lu;  Chen, Jie;  Ishibuchi, Hisao;  Hirota, Kaoru 收藏  |  浏览/下载：22/0  |  提交时间：2018/10/07 Evolutionary multiobjective optimization  interactive multiobjective optimization  multiple criteria decision making  preference information  preference models   Interactive Multiobjective Optimization: A Review of the State-of-the-Art 期刊论文 IEEE ACCESS, 2018, 卷号: 6, 页码: 41256 作者:  Xin, Bin;  Chen, Lu;  Chen, Jie;  Ishibuchi, Hisao;  Hirota, Kaoru 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/31 Piecewise Trend Approximation: A Ratio-Based Time Series Representation 期刊论文 2013 作者:  Dan, Jingpei[1];  Shi, Weiren[2];  Dong, Fangyan[3];  Hirota, Kaoru[3] 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/28 Fuzzy Local Trend Transform based Fuzzy Time Series Forecasting Model 期刊论文 2011, 卷号: 6, 页码: 603-614 作者:  Dan, Jingpei[1,2];  Dong, Fangyan[1];  Hirota, Kaoru[1] 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/30 Mean Local Trend Error and Fuzzy-Inference-Based Multicriteria Evaluation for Supply Chain Demand Forecasting 期刊论文 Journal of Advanced Computatioanl Intelligence and Intelligent Informatics, 2011, 卷号: Vol.15 No.2, 页码: 134-144 作者:  Jingpei Dan;  Fuding Xie;  Fangyan Dong;  Kaoru Hirota 收藏  |  浏览/下载：1/0  |  提交时间：2019/02/27 Supply  chain  Time  series  data  Fuzzy  inference  Multicriteria  evaluation  Forecasting   Sequential Growing-and-Pruning Learning for Recurrent Neural Networks Using Unscented or Extended Kalman Filter 会议论文 27th Chinese Control Conference, CCC, Kunming, Yunnan, China, July 16, 2008 - July 18, 2008 作者:  Liao, Yingxin;  Wu, Min;  She, Jinhua;  Hirota, Kaoru 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/28 Function approximation  Recurrent neural network  Sequential learning  Unscented Kalman filter  Extended Kalman filter  Mackey-glass series   Sequential Growing-and-Pruning Learning for Recurrent Neural Networks Using Unscented or Extended Kalman Filter 会议论文 27th Chinese Control Conference, CCC, Kunming, Yunnan, China, July 16, 2008 - July 18, 2008 作者:  Liao Yingxin*;  Wu Min;  She Jinhua;  Kaoru, Hirota 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/28 Function approximation  Recurrent neural network  Sequential learning  Unscented Kalman filter  Extended Kalman filter  Mackey-glass series