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  • 31. Kok_JGEC658_2009

    it will be one of the main aspects of this paper. 2.3. Properties The elements of a Fuzzy Cognitive Map are as follows:  Concepts: C1, C2, . . ., Cn. These represent the drivers and constraints that are considered of importance to the issue under consideration.  State vector: A = (a1, a2, . . ., an), where ai denotes the state of the node Ci. The state vector represents the value of the concepts /media/loftslag/Kok_JGEC658_2009.pdf
  • 32. VI_2020_004

  • 33. 2010_003rs

    district. ......... 55 Figure 3.26. Mapped sub-suface faults and clusters. .......................................................... 57 Figure 3.27. A 3D-map showing all the relocated events. .................................................. 58 Figure 3.28. Frequency of earthquakes in boxes A-M with respect to depth, stress drop and average stress drop /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf
  • 34. VI_2013_008

    [Q(t);Q(t 1);Q(t 2)] E[Q(ui);Q(ui 1);Q(ui 2)] , ai = Qb(t) Qb(ui) , bi = Q(t) Qb(t) Q(ui) Qb(ui) , and Qb(t) and Qb(ui) are baseflows calculated using the UKIH baseflow separation method (Piggott et al., 2005). All rescaling coefficients were limited to a minimum value of 0.25 and a maximum value of 5. 4.5 Deterministic prediction A deterministic forecast was derived from the ensemble by taking /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf

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