Predicting the Jakarta composite index price using ANFIS and classifying prediction result based on relative error by fuzzy Kernel C-Means
Author(s) -
F. Fanita,
Zuherman Rustam
Publication year - 2018
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5064203
Subject(s) - adaptive neuro fuzzy inference system , stock exchange , artificial intelligence , fuzzy logic , computer science , fuzzy inference system , stock market index , composite index , data mining , econometrics , stock market , stock market prediction , machine learning , statistics , mathematics , fuzzy control system , economics , finance , geography , context (archaeology) , archaeology
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