P. P. Groumpos, Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems Fuzzy Cognitive Maps, pp.1-22, 2010.
DOI : 10.1007/978-3-642-03220-2_1

J. A. Dickerson and B. Kosko, Virtual Worlds as Fuzzy Cognitive Maps, Virtual Reality Annual International Symposium, pp.471-477, 1993.
DOI : 10.1162/pres.1994.3.2.173

C. D. Stylios, N. Christova, and P. P. Groumpos, A Hierarchical Modeling Technique of Industrial Plants using Multimodel Approach, Proceeding of 10th IEEE Mediterranean Conference on Control and Automation, 2002.

A. V. Huerga, A Balanced Differential Learning Algorithm in Fuzzy Cognitive Maps, Proceedings of the Sixteenth International Workshop on Qualitative Reasoning, pp.10-12, 2002.

E. I. Papageorgiou, C. D. Stylios, and P. P. Groumpos, Active Hebbian learning algorithm to train fuzzy cognitive maps, International Journal of Approximate Reasoning, vol.37, issue.3, pp.219-249, 2004.
DOI : 10.1016/j.ijar.2004.01.001
URL : http://doi.org/10.1016/j.ijar.2004.01.001

E. I. Papageorgiou and P. P. Groumpos, A weight adaptation method for fuzzy cognitive map learning, Soft Computing, vol.1, issue.2, pp.846-857, 2005.
DOI : 10.1007/s00500-004-0426-z

E. I. Papageorgiou, C. D. Stylios, and P. P. Groumpos, Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links, International Journal of Human-Computer Studies, vol.64, issue.8, pp.727-743, 2006.
DOI : 10.1016/j.ijhcs.2006.02.009

W. Stach, L. Kurgan, and W. Pedrycz, Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), pp.1975-1981, 2008.
DOI : 10.1109/FUZZY.2008.4630640

B. Krose and P. V. Smagt, An Introduction to Neural Networks. University of Amsterdam Available from, 1996.

P. J. Werbos, Backpropagation through time: what it does and how to do it, Proceedings of the IEEE, pp.1550-1560, 1990.
DOI : 10.1109/5.58337