hybrid method combining time-series data with leading indicators based on machine-learning algorithms (Informa UK Limited)
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Informa UK Limited
hybrid method combining time-series data with leading indicators based on machine-learning algorithms
Hybrid Method Combining Time Series Data With Leading Indicators Based On Machine Learning Algorithms, supplied by Informa UK Limited, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hybrid+method+combining+time-series+data+with+leading+indicators+based+on+machine-learning+algorithms/hybrid+method+combining+time+series+data+with+leading+indicators+based+on+machine+learning+algorithms/10__1080_slash_13675567__2020__1803246-18-41-2
Average 90 stars, based on 1 article reviews
Hybrid Method Combining Time Series Data With Leading Indicators Based On Machine Learning Algorithms, supplied by Informa UK Limited, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/hybrid+method+combining+time-series+data+with+leading+indicators+based+on+machine-learning+algorithms/hybrid+method+combining+time+series+data+with+leading+indicators+based+on+machine+learning+algorithms/10__1080_slash_13675567__2020__1803246-18-41-2
Average 90 stars, based on 1 article reviews
hybrid method combining time-series data with leading indicators based on machine-learning algorithms - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Machine learning demand forecasting and supply chain performance Article Snippet: In many supply chains, firms staged in upstream of the chain suffer from variance amplification emanating from demand information distortion in a multi-stage supply chain and, consequently, their operation inefficiency.. Prior research suggest that employing advanced demand forecasting, such as machine learning, could mitigate the effect and improve the performance; however, it is less known what is the extent and magnitude of savings as tangible supply chain performance outcomes.. In this research, hybrid demand forecasting methods grounded on machine learning i.e. ARIMAX and Neural Network is developed. |