Inoculare
发表于 2025-3-21 17:52:03
书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0944541<br><br> <br><br>书目名称Using Artificial Neural Networks for Timeseries Smoothing and Forecasting读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0944541<br><br> <br><br>
要塞
发表于 2025-3-21 22:35:03
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红肿
发表于 2025-3-22 01:04:42
,Econometrics—Selected Models,Econometrics is currently a rapidly developing field of study, referring not only to common economics (macroeconomy and microeconomy), but also specialized economic areas such as financial and spatial economics.
arabesque
发表于 2025-3-22 07:57:14
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小样他闲聊
发表于 2025-3-22 11:35:57
Comparison of Different Methods,BBasic information related to the artificial neural network method is shown in Fig. 4.1. The predictors in this case are neural networks, the number of test examples is 1221 and the number of training examples is 2442
责难
发表于 2025-3-22 13:34:15
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遭受
发表于 2025-3-22 20:23:01
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一条卷发
发表于 2025-3-22 23:58:47
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Jubilation
发表于 2025-3-23 04:55:40
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savage
发表于 2025-3-23 07:02:33
https://doi.org/10.1007/978-3-030-75649-9Artificial Neural Networks; Forecasting; Timeseries Smoothing; Timeseries; Statistic Methods