版权说明 操作指南
首页 > 成果 > 详情

Application of Bidirectional LSTM Neural Network in Grain Stack Temperature Prediction

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
会议论文
作者:
Wu Y.;Yang H.;Zhou K.;Wang Y.;Zhu Y.
通讯作者:
Wu, Y.
作者机构:
[Yang H.; Zhu Y.; Wu Y.; Wang Y.; Zhou K.] Wuhan Polytechnic University, Dongxihu District, Wuhan, 43040, China
通讯机构:
[Wu, Y.] W
Wuhan Polytechnic University, Dongxihu District, China
语种:
英文
关键词:
Bidirectional LSTM neural network;LSTM neural network;Network training;Temperature prediction
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2022
卷:
1566 CCIS
页码:
385-395
会议名称:
16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021
会议时间:
17 December 2021 through 19 December 2021
主编:
Pan L.Cui Z.Cai J.Li L.
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9789811912528
机构署名:
本校为第一且通讯机构
摘要:
Food is a necessity for human survival, so it is particularly important to ensure the quality of food in the process of storage. Therefore, in the process of grain storage, the grain quality is extremely important. In the process of grain storage, the temperature of grain will change due to the accumulation of heat in the grain pile, which will eventually affect the quality of grain and thus affect the quality of grain. Therefore, it is necessary to accurately predict the temperature of grain pile. Based on this practical problem, this paper de...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com