919 | -- | 942 | Elisabet Parras-Gutierrez, Maribel García Arenas, Víctor M. Rivas, M. J. del Jesus. Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm |
943 | -- | 953 | Stylianos Kampakis. Improved Izhikevich neurons for spiking neural networks |
955 | -- | 977 | Amelia Zafra, Sebastián Ventura. Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems |
979 | -- | 987 | Carmen Chirita. Polyadic tense theta-valued Lukasiewicz-Moisil algebras |
989 | -- | 1008 | Arup Kumar Nandi, Shubhabrata Datta, Kalyanmoy Deb. Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms |
1009 | -- | 1020 | Rohitash Chandra, Marcus R. Frean, Mengjie Zhang. Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks |
1021 | -- | 1027 | Binod Chandra Tripathy, Mausumi Sen, Soumitra Nath. I-convergence in probabilistic n-normed space |
1029 | -- | 1034 | Hifsi Altinok, Rifat Çolak, Yavuz Altin. On the class of λ-statistically convergent difference sequences of fuzzy numbers |
1035 | -- | 1041 | Majid Amirfakhrian. Analyzing the solution of a system of fuzzy linear equations by a fuzzy distance |
1043 | -- | 1060 | Shou-Jen Chang-Chien, Wen-Liang Hung, Miin-Shen Yang. On mean shift-based clustering for circular data |
1061 | -- | 1069 | Yangyang Li, Rongrong Xiang, Licheng Jiao, Ruochen Liu. An improved cooperative quantum-behaved particle swarm optimization |
1071 | -- | 1089 | Ludo Waltman, Nees Jan van Eck. A mathematical analysis of the long-run behavior of genetic algorithms for social modeling |
1091 | -- | 1105 | Mehdi Khashei, Mehdi Bijari, Seyed Reza Hejazi. Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting |