论文信息 - Adaptive Immune Multiobjective Algorithm for LSSVM-based NARMAX model - 字舞流文

Adaptive Immune Multiobjective Algorithm for LSSVM-based NARMAX model

Sha Liu | Xia Zhou

[1] T. Mosmann,et al. The expanding universe of T-cell subsets: Th1, Th2 and more. , 1996, Immunology today.

[2] Gary B. Lamont,et al. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art , 2000, Evolutionary Computation.

[3] Fernando José Von Zuben,et al. Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..

[4] Carlos M. Fonseca,et al. 'Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming , 2004, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[5] Sheng Chen,et al. Extended model set, global data and threshold model identification of severely non-linear systems , 1989 .

[6] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[7] Sheng Chen,et al. Representations of non-linear systems: the NARMAX model , 1989 .

[8] L. Shieh,et al. A NARMAX model-based state-space self-tuning control for nonlinear stochastic hybrid systems , 2010 .

[9] S. Billings,et al. The analysis of electron fluxes at geosynchronous orbit employing a NARMAX approach , 2013 .