Artificial Intelligence

    

Theoretical Model for an Approximate One Step Forecasting Scheme

Authors: Ramesh Chandra Bagadi

In this research investigation, the authors present a detailed scheme of a theoretical model for an approximate one step forecasting scheme. Firstly, the authors coin notions of Similarity and Dissimilarity. The authors then coin a notion of causal one step forecast for any given sequence. Parallely, the authors define concepts of Higher Order Sequence of Primes and RL Normalization Scheme based on which alternate better formulae for one step forecast for any given sequence are derived.

Comments: 16 Pages.

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Submission history

[v1] 2020-12-08 09:02:26

Unique-IP document downloads: 222 times

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