Malhathkar et al., 2022 - Google Patents
Deep Learning for Time Series Forecasting–With a focus on Loss Functions and Error MeasuresMalhathkar et al., 2022
- Document ID
- 18010380779009388558
- Author
- Malhathkar S
- Thenmozhi S
- Publication year
- Publication venue
- 2022 IEEE World Conference on Applied Intelligence and Computing (AIC)
External Links
Snippet
Time Series Forecasting is a significant task in the modern world that finds application in several fields. The use of Deep Learning Models to perform forecasting has gained popularity in the past few years due to their superior performance in comparison to standard …
- 238000000714 time series forecasting 0 abstract description 18
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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