A Neutrosophic Forecasting Model for Time Series Based on First Order State and Information Entropy of High Order Fluctuation is popular PDF and ePub book, written by Hongjun Guan in 2024-09-29, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, A Neutrosophic Forecasting Model for Time Series Based on First Order State and Information Entropy of High Order Fluctuation can be Read Online from any device for your convenience.
A Neutrosophic Forecasting Model for Time Series Based on First Order State and Information Entropy of High Order Fluctuation Book PDF Summary
In time series forecasting, information presentation directly affects prediction efficiency. Most existing time series forecasting models follow logical rules according to the relationships between neighboring states, without considering the inconsistency of fluctuations for a related period. In this paper, we propose a new perspective to study the problem of prediction, in which inconsistency is quantified and regarded as a key characteristic of prediction rules. First, a time series is converted to a fluctuation time series by comparing each of the current data with corresponding previous data.
Detail Book of A Neutrosophic Forecasting Model for Time Series Based on First Order State and Information Entropy of High Order Fluctuation PDF
- Author : Hongjun Guan
- Release : 29 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 18 pages
- Language : English
- PDF File Size : 12,7 Mb
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