Learning of Fuzzy Cognitive Maps for simulation and knowledge discovery
暂无分享,去创建一个
Gonzalo Nápoles | Rafael Bello | Isel Grau | Ricardo Pérez-García | Rafael Bello | G. Nápoles | Isel Grau | R. Pérez-García
[1] Bart Kosko. Fuzzy thinking , 2018, New Scientist.
[2] Koen Vanhoof,et al. A Fuzzy Cognitive Maps Modeling, Learning and Simulation Framework for Studying Complex System , 2011, IWINAC.
[3] Marco Dorigo,et al. Ant algorithms and stigmergy , 2000, Future Gener. Comput. Syst..
[4] Koen Vanhoof,et al. Two Steps Individuals Travel Behavior Modeling through Fuzzy Cognitive Maps Pre-definition and Learning , 2011, MICAI.
[5] R. Shafer,et al. Genotypic predictors of human immunodeficiency virus type 1 drug resistance , 2006, Proceedings of the National Academy of Sciences.
[6] Rafael Bello,et al. Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems , 2012, ANTS.
[7] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[8] Bart Kosko,et al. Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence , 1991 .
[9] Gonzalo Nápoles,et al. Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive Maps , 2012, MICAI.
[10] Elpiniki I. Papageorgiou,et al. Learning Algorithms for Fuzzy Cognitive Maps—A Review Study , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[11] Maikel Leon Espinosa,et al. A Fuzzy Cognitive Maps Based Model for Individual Travel Behaviour , 2012 .
[12] Rafael Bello,et al. Constricted Particle Swarm Optimization based Algorithm for Global Optimization , 2012, Polibits.
[13] R. Jernigan,et al. Self‐consistent estimation of inter‐residue protein contact energies based on an equilibrium mixture approximation of residues , 1999, Proteins.
[14] Bart Kosko,et al. Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..
[15] Elpiniki I. Papageorgiou,et al. Review study on fuzzy cognitive maps and their applications during the last decade , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).
[16] Yu Wang,et al. Self-adaptive learning based particle swarm optimization , 2011, Inf. Sci..
[17] Marco Dorigo,et al. Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[18] Thomas Lengauer,et al. Diversity and complexity of HIV-1 drug resistance: A bioinformatics approach to predicting phenotype from genotype , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[19] Gonzalo Nápoles,et al. Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance , 2014, Expert Syst. Appl..
[20] Athanasios K. Tsadiras,et al. Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps , 2008, Inf. Sci..
[21] Bart Kosko,et al. Hidden patterns in combined and adaptive knowledge networks , 1988, Int. J. Approx. Reason..
[22] Bradley J. Betts,et al. Human immunodeficiency virus reverse transcriptase and protease sequence database. , 2003, Nucleic acids research.
[23] Dimitrios E. Koulouriotis,et al. EFFICIENTLY MODELING AND CONTROLLING COMPLEX DYNAMIC SYSTEMS USING EVOLUTIONARY FUZZY COGNITIVE MAPS (INVITED PAPER) , 2003 .
[24] Peter Cheeseman,et al. Fuzzy thinking , 1995 .
[25] Koen Vanhoof,et al. A Revision and Experience using Cognitive Mapping and Knowledge Engineering in Travel Behavior Sciences , 2010, Polibits.
[26] Koen Vanhoof,et al. Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps , 2013, Int. J. Comput. Intell. Syst..
[27] Thomas Stützle,et al. MAX-MIN Ant System , 2000, Future Gener. Comput. Syst..
[28] Francisco Herrera,et al. Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP , 2010, Expert Syst. Appl..
[29] R. Axelrod. Structure of decision : the cognitive maps of political elites , 2015 .