None of the material requirements for the selected components



MESSAGE_TEXT                                                                    
--------------------------------------------------------------------------------
Session 1354634: Session 1354634: started on 05/09/2011 01:29:30                
Session 1354634: wip_picking_pvt.allocate => job count in table passed into allo
cate(): 1                                                                       
                                                                                
Session 1354634: p_days_to_alloc=,p_auto_detail_flag=,p_start_date=,p_cutoff_dat
e=,p_wip_entity_type=1,p_organization_id=123,p_operation_seq_num_low=,p_operatio
n_seq_num_high=,p_pick_grouping_rule_id=1032,p_print_pick_slip=T               
                                                                               
Session 1354634: wip_picking_pvt.allocate => add comp:                         
Session 1354634:  op_seq_num=1,item_id=90717,open qty=1,subinv=,loc=,supplyType=
1,reqDate=29-MAR-11                                                            
                                                                               
Session 1354634: wip_picking_pvt.allocate => line count passed to inv_wip_pickin
g_pvt.release_pick_batch: 1;total=1                                            
                                                                               
Session 1354634: returned status from call to inv_wip_picking_pvt.release_pick_b
atch() = N;total=1                                                             
                                                                               
Session 1354634: wip_picking_pvt.allocate => inv_wip_picking_pvt.release_pick_ba
tch return_status=N                                                            
                                                                               
Session 1354634: wip_picking_pvt.allocate => inv_wip_picking_pvt.release_pick_ba
tch return_msg=                                                                
                                                                               
Session 1354634: Session 1354634: ended on 05/09/2011 01:29:31                 

10 rows selected.

SQL> spool off;
Oracle
---------
 Bug 9182473: ESC* COMPONENT PICK RELEASE FORM. HAVING VERY SMALL QTY TO RELEASE
---------
-> forms/US/WIPCMPPK.fmb 115.72.11510.5
-> patch/115/odf/wipmreq.odf 115.29.11510.9
-> patch/115/sql/wipbflpb.pls 115.42.11510.31
-> patch/115/sql/wippckvb.pls 115.70.11510.18
 

来自 “ ITPUB博客 ” ,链接:http://blog.itpub.net/10434717/viewspace-694929/,如需转载,请注明出处,否则将追究法律责任。

转载于:http://blog.itpub.net/10434717/viewspace-694929/

内容概要:本文介绍了基于贝叶斯优化的CNN-LSTM混合神经网络在时间序列预测中的应用,并提供了完整的Matlab代码实现。该模型结合了卷积神经网络(CNN)在特征提取方面的优势与长短期记忆网络(LSTM)在处理时序依赖问题上的强大能力,形成一种高效的混合预测架构。通过贝叶斯优化算法自动调参,提升了模型的预测精度与泛化能力,适用于风电、光伏、负荷、交通流等多种复杂非线性系统的预测任务。文中还展示了模型训练流程、参数优化机制及实际预测效果分析,突出其在科研与工程应用中的实用性。; 适合人群:具备一定机器学习基基于贝叶斯优化CNN-LSTM混合神经网络预测(Matlab代码实现)础和Matlab编程经验的高校研究生、科研人员及从事预测建模的工程技术人员,尤其适合关注深度学习与智能优化算法结合应用的研究者。; 使用场景及目标:①解决各类时间序列预测问题,如能源出力预测、电力负荷预测、环境数据预测等;②学习如何将CNN-LSTM模型与贝叶斯优化相结合,提升模型性能;③掌握Matlab环境下深度学习模型搭建与超参数自动优化的技术路线。; 阅读建议:建议读者结合提供的Matlab代码进行实践操作,重点关注贝叶斯优化模块与混合神经网络结构的设计逻辑,通过调整数据集和参数加深对模型工作机制的理解,同时可将其框架迁移至其他预测场景中验证效果。
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符  | 博主筛选后可见
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值