Product life cycle based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting | |
Liu Yue[1]; Ju Wangwei[2]; Zhao Jianguo[3]; Gao Junjun[4]; Zheng Jiazhou[5]; Jiang Aiping[6] | |
刊名 | 11th International Conference on Natural Computation (ICNC) / 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
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2016 | |
卷号 | 31页码:825-836 |
关键词 | Demand forecasting product life cycle artificial bee colony algorithm |
ISSN号 | 1064-1246 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2226773 |
专题 | 上海大学 |
作者单位 | 1.[1]Shanghai Univ, Sch Comp Engn & Sci, 99 Shangda Rd, Shanghai 200444, Peoples R China. 2.[2]Shanghai Univ, Sch Comp Engn & Sci, 99 Shangda Rd, Shanghai 200444, Peoples R China. 3.[3]Shanghai Univ, Sch Comp Engn & Sci, 99 Shangda Rd, Shanghai 200444, Peoples R China. 4.[4]Shanghai Univ, Sydney Inst Language & Commerce, Shanghai, Peoples R China. 5.[5]Shanghai Univ, Sydney Inst Language & Commerce, Shanghai, Peoples R China. 6.[6]Shanghai Univ, Sydney Inst Language & Commerce, Shanghai, Peoples R China. |
推荐引用方式 GB/T 7714 | Liu Yue[1],Ju Wangwei[2],Zhao Jianguo[3],et al. Product life cycle based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting[J]. 11th International Conference on Natural Computation (ICNC) / 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD),2016,31:825-836. |
APA | Liu Yue[1],Ju Wangwei[2],Zhao Jianguo[3],Gao Junjun[4],Zheng Jiazhou[5],&Jiang Aiping[6].(2016).Product life cycle based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting.11th International Conference on Natural Computation (ICNC) / 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD),31,825-836. |
MLA | Liu Yue[1],et al."Product life cycle based demand forecasting by using artificial bee colony algorithm optimized two-stage polynomial fitting".11th International Conference on Natural Computation (ICNC) / 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 31(2016):825-836. |
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