Time-Series Prediction and Applications (Hardcover)

Name: Time-Series Prediction and Applications
Author: Diptendu Bhattacharya, Amit Konar

A Machine Intelligence Approach

von Diptendu Bhattacharya, Amit Konar Verlag: Springer International Publishing

1st ed. 2017 - Erschienen 03.04.2017 - Gebunden, 260 Seiten, 241mm x 160mm x 20mm, Sprache(n): eng

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Proposes generic solutions to the prediction of an economic time-series with alternative formulations using machine learning and type-2 fuzzy setsOffers original content and a unique presentation styleIncludes the source codes of the programs developed in MATLAB to accompany the bookRequires a only a high-school understanding of algebra and calculus, and first-year-undergraduate-level programming skillsIncludes supplementary material: sn.pub/extras

This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a given time point from its preceding value in fluctuating business environments. It employs machine learning to determine repetitively occurring similar structural patterns in the time-series and uses stochastic automaton to predict the most probabilistic structure at a given partition of the time-series. Such predictions help in determining probabilistic moves in a stock index time-series Primarily written for graduate students and researchers in computer science, the book is equally useful for researchers/professionals in business intelligence and stock index prediction. A background of undergraduate level mathematics is presumed, although not mandatory, for most of the sections. Exercises with tips are provided at the end of each chapter to the readers¿ ability and understanding of the topics covered.

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Bestell-Nr.:

A29126531

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ISBN:

3319545965

EAN:

9783319545967

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