TY - JOUR
T1 - Modeling coal company stock by using fuzzy-RBFNN
AU - Suprih Ulama, Brodjol Sutijo
AU - Prastuti, Mike
AU - Oktaviana, Apratnya Paramitha
N1 - Publisher Copyright:
© IAEME Publication
PY - 2018/12/1
Y1 - 2018/12/1
N2 - In the last three years the Indonesian Composite Stock Price Index (CSPI) experienced significant growth, 17.02%. Indonesia stock exchange especially mining sector increase rapidly. In 2018, mining sector stock index is second highest growth after consumption sector, from 1,593.99 in 2017 become 1,991.61 in february 2018. The growthof price mining stock was triggered by rising commodity price, so financial performanc of mining corporate also increase. Based on the above description, it is necessary to know how long mining sector shares will continue to rise, thus helping investors to do adjustment on investment. There are many methods to forecast such as ARIMA, Aritficial Neural Network, and Fuzzy Neural Network (FNN). FNN especially Fuzzy Radial Basis Fuction Neural Network (Fuzzy-RBFNN) is going to use to modelling stock price of three mining company sector. Based on models, generally seven cluster of input model give more accurate than less.
AB - In the last three years the Indonesian Composite Stock Price Index (CSPI) experienced significant growth, 17.02%. Indonesia stock exchange especially mining sector increase rapidly. In 2018, mining sector stock index is second highest growth after consumption sector, from 1,593.99 in 2017 become 1,991.61 in february 2018. The growthof price mining stock was triggered by rising commodity price, so financial performanc of mining corporate also increase. Based on the above description, it is necessary to know how long mining sector shares will continue to rise, thus helping investors to do adjustment on investment. There are many methods to forecast such as ARIMA, Aritficial Neural Network, and Fuzzy Neural Network (FNN). FNN especially Fuzzy Radial Basis Fuction Neural Network (Fuzzy-RBFNN) is going to use to modelling stock price of three mining company sector. Based on models, generally seven cluster of input model give more accurate than less.
KW - ARIMA
KW - Fuzzy Neural Network
KW - Fuzzy-RBFNN
KW - Stock
UR - http://www.scopus.com/inward/record.url?scp=85059266495&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85059266495
SN - 0976-6340
VL - 9
SP - 858
EP - 865
JO - International Journal of Mechanical Engineering and Technology
JF - International Journal of Mechanical Engineering and Technology
IS - 858-865
ER -