TY - GEN
T1 - Robust prediction with ANNBFIS system
AU - Czabanski, Robert
AU - Jezewski, Michal
AU - Horoba, Krzysztof
AU - Jezewski, Janusz
AU - Wrobel, Janusz
PY - 2010
Y1 - 2010
N2 - In this paper a learning method of Artificial Neural Network Based on Fuzzy Inference System (ANNBFIS) is presented. It is based on deterministic annealing, ε-insensitive learning by solving a system of linear inequalities, and robust fuzzy c-means clustering. To find the unknown number of fuzzy if-then rules we proposed the procedure of robust clusters merging. The performance of the learning method was demonstrated through the benchmark sunspot prediction problem.
AB - In this paper a learning method of Artificial Neural Network Based on Fuzzy Inference System (ANNBFIS) is presented. It is based on deterministic annealing, ε-insensitive learning by solving a system of linear inequalities, and robust fuzzy c-means clustering. To find the unknown number of fuzzy if-then rules we proposed the procedure of robust clusters merging. The performance of the learning method was demonstrated through the benchmark sunspot prediction problem.
UR - https://www.scopus.com/pages/publications/77956533712
U2 - 10.1007/978-3-642-12101-2_20
DO - 10.1007/978-3-642-12101-2_20
M3 - Conference contribution
AN - SCOPUS:77956533712
SN - 9783642121005
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 185
EP - 194
BT - Intelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings
T2 - 2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010
Y2 - 24 March 2010 through 26 March 2010
ER -