Response surface methodology and artificial neural network modelling for enhancing maturity parameters during vermicomposting of floral waste

导出原文传递

翻译打印收藏纠错

作者： Sharma, Dayanand ^[1] ; Pandey, Ashutosh Kumar ^[2] ; Yadav, Kunwar Durg ^[3] ; Kumar, Sunil

作者单位： SV Natl Inst Technol, Civil Engn Dept, Surat 395007, Gujarat, India ^[1] Natl Inst Technol Patna, Civil Engn Dept, Patna 800005, Bihar, India ^[2] CSIR Natl Environm Engn Res Inst NEERI, Nagpur 440020, Maharashtra, India ^[3]

关键词 Vermicomposting Floral waste Cattle dung Central composite design Artificial neural network

发布时间 2021-05-15

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览2

Bioresource Technology

2021年324卷

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Response surface methodology and artificial neural network modelling for enhancing maturity parameters during vermicomposting of floral waste

Bioresource Technology

相似文献

Bioresource Technology

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Response surface methodology and artificial neural network modelling for enhancing maturity parameters during vermicomposting of floral waste

Bioresource Technology

相似文献

Bioresource Technology

相关期刊

检索历史清除