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StarBench: The D-type expansion of an HII region, , , , , , , , , and 9 other author(s). (2015)cite arxiv:1507.05621Comment: 20 pages, 12 Figures, 4 Tables. Accepted for publication in MNRAS. Comments are welcome. Participation in future StarBench tests is also welcome.Special issue on dynamic recurrent neural networks, , and . IEEE Transactions on Neural Networks, (1994)Gradient-Based Learning Algorithms for Recurrent Networks and Their Computational Complexity, and . Back-propagation:Theory, Architectures and Applications, Lawrence Erlbaum Associates, Hillsdale, NJ, USA, (1995)A learning algorithm for continually running fully recurrent networks, and . Neural Computation, 1 (2): 270--280 (1989)SNOUT: An Intelligent Assistant for Exploratory Data Anaylsis., , , and . PKDD, volume 1263 of Lecture Notes in Computer Science, page 189-199. Springer, (1997)Dynamic Recurrent Networks: theory and applications, , and . IEEE Transactions on Neural Networks, (March 1994)Toward a theory of reinforcement-learning connectionist systems. NU-CCS-88-3. College of Comp. Sci., Northeastern University, Boston, MA, (1988)Uncertainty in simulating wheat yields under climate change, , , , , , , , , and 41 other author(s). Nature Climate Change, 3 (9): 827--832 (Jun 9, 2013)Trapping zones: The effect of fracture roughness on the directional anisotropy of fluid flow and colloid transport in a single fracture, , , , and . Geophysical Research Letters, 33 (21): 1365 (2006)Constraining the Nature of Two Ly-alpha Emitters detected by ALMA at z = 4.7, , , , , , , , , and . (2014)cite arxiv:1401.3791Comment: 6 pages, 5 figures, accepted for publication in MNRAS.