fork structure

This structure is generated by the following equations:
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<li>V^{(1)}_t = a_{11}^{t-1} * V^{(1)}_{t - 1} + b_{1}^{t} * \eps^1_t</li>
<li>V^{(2)}_t = a_{22}^{t-1} * V^{(2)}_{t - 1} + a_{12}^{t-1} * f(V^{(1)}_{t - 1}) + b_{2}^{t} * \eps^2_t</li>
<li>V^{(3)}_t = a_{33}^{t-1} * V^{(3)}_{t - 1} + a_{13}^{t-2} * g(V^{(1)}_{t - 2}) + b_{3}^{t} * \eps^3_t</li>
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We present below the characteristics of each dataset in the following form: (f(), g(), a_{11}^{t-1} b_{1}^{t} a_{22}^{t-1} b_{2}^{t} a_{33}^{t-1} b_{3}^{t} a_{12}^{t-1} a_{13}^{t-2})
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Dataset 1: (abso, tanh, -0.3699361331241453 0.1 0.3161208615068922 0.1 -0.2363490322338957 0.1 -0.22880097522132448 0.24306200315342608)
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Dataset 2: (tanh, tanh, -0.45088901737058884 0.1 -0.5049523437439734 0.1 -0.23912014762598788 0.1 -0.10325271020569993 0.7873766287095652)
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Dataset 3: (tanh, sin, 0.7930103819840089 0.1 0.19504243966386414 0.1 0.8840652564435134 0.1 0.6629027828151408 0.23547876432744697)
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Dataset 4: (abso, tanh, 0.7943275308593616 0.1 -0.7759848046608431 0.1 -0.623677017045875 0.1 -0.7383399199106677 -0.11855529995628933)
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Dataset 5: (sin, sin, 0.256086048358537 0.1 -0.14477078888448647 0.1 0.30103146916183454 0.1 -0.9673057274489223 0.5287051820012552)
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Dataset 6: (sin, abso, 0.6747045268600222 0.1 0.649657313651451 0.1 0.7784498897392678 0.1 0.38390606423309004 -0.9649074283617511)
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Dataset 7: (cos, abso, 0.14573687608102737 0.1 -0.7059698692397858 0.1 -0.3245043416841211 0.1 -0.5811576720181868 -0.8263972836584903)
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Dataset 8: (abso, abso, 0.5284812027494568 0.1 -0.1725023723393413 0.1 0.45721703518389356 0.1 -0.6942436019409397 0.7077795117202967)
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Dataset 9: (tanh, cos, 0.41729031657734783 0.1 -0.21854259329506664 0.1 0.20616273064126855 0.1 -0.7797294278325508 -0.1260612794202709)
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Dataset 10: (cos, cos, 0.6125159746673405 0.1 -0.7233943050608049 0.1 -0.13702376727771082 0.1 -0.14928558123954971 -0.11666721635492361)