Data Forecasting and Extrapolation via Probability Distribution and Nodes Combinatio
Journal Title: Zeszyty Naukowe Wydziału Elektroniki i Informatyki Politechniki Koszalińskiej - Year 2015, Vol 8, Issue
Abstract
Proposed method, called Probabilistic Nodes Combination (PNC), is the method of 2D data interpolation and extrapolation. Nodes are treated as characteristic points of information retrieval and data forecasting. PNC modeling via nodes combination and parameter γ as probability distribution function enables 2D point extrapolation and interpolation. Two-dimensional information is modeled via nodes combination and some functions as continuous probability distribution functions: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function. Extrapolated values are used as the support in data forecasting.
Authors and Affiliations
Dariusz Jacek Jakóbczak
Keywords
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