A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment
文献类型：期刊论文
| 作者 | Niu, Guoqiang1,4; Yi, Xiaohui1,3,4; Chen, Chen2; Li, Xiaoyong1,4; Han, Donghui2; Yan, Bo1,4; Huang, Mingzhi1,4; Ying, Guangguo1,4 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2020-08-20 |
| 卷号 | 265页码:10 |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2020.121787 |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000552097000014 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/57343]  |
| 专题 | 中国科学院广州地球化学研究所 |
| 通讯作者 | Huang, Mingzhi |
| 作者单位 | 1.South China Normal Univ, MOE Key Lab Theoret Chem Environm, Sch Environm, Guangzhou 510006, Peoples R China 2.Minist Ecol & Environm, Guangdong Key Lab Water & Air Pollut Control, South China Inst Environm Sci, Guangzhou 510655, Peoples R China 3.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Prov Key Lab Environm Protect & Resourc, Guangzhou 510640, Peoples R China 4.South China Normal Univ, Sch Environm, SCNU Environm Res Inst, Guangdong Prov Key Lab Chem Pollut & Environm Saf, Guangzhou 510006, Peoples R China |
| 推荐引用方式 GB/T 7714 | Niu, Guoqiang,Yi, Xiaohui,Chen, Chen,et al. A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment[J]. JOURNAL OF CLEANER PRODUCTION,2020,265:10. |
| APA | Niu, Guoqiang.,Yi, Xiaohui.,Chen, Chen.,Li, Xiaoyong.,Han, Donghui.,...&Ying, Guangguo.(2020).A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment.JOURNAL OF CLEANER PRODUCTION,265,10. |
| MLA | Niu, Guoqiang,et al."A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment".JOURNAL OF CLEANER PRODUCTION 265(2020):10. |
入库方式： OAI收割
来源：广州地球化学研究所
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