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References [1] Solomatine, D. P. & Ostfeld, A. (2008), Data-driven modelling: Some past experiences and new approaches. Journal of Hydroinformatics. 10(1), 3-22. DOI: 10.2166/hydro.2008.015; [2] Hsu, K., Vijai Gupta, H., & Sorooshian, S. (1995), Artificial neural network modeling of the rainfall-runoff process. Water Resources Research. 31(10), 2517-2530. DOI: 10.1029/95WR01955; [3] Abrahart, R. J. & See, L. M. (2007), Neural network modelling of non-linear hydrological relationships. Hydrology and Earth System Sciences. 11, 1563-1579. DOI: 10.5194/hess-11

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References Baer Reinhold. 1928. "Über ein Vollständigkeitsaxiom in der Mengenlehre." Mathematische Zeitschrift 27, 536-539. Bagaria Joan. 2005. "Natural Axioms of Set Theory and the Continuum Problem." In: Hájek et al. 2005: 43-64. Barwise Jon. 1985. "Model-Theoretic Logics: Background and Aims." In: Barwise & Feferman 1985: 3-23. Barwise Jon, Feferman Solomon (eds.). 1985. Model-Theoretic Logics. New York-Berlin-Heidelberg-Tokyo: Springer-Verlag. Benaceraff Paul, Putnam Hilary (eds.). 1964. Philosophy of Mathematics. Selected Readings. Englewood Cliffs

Engineering. Washington, DC, USA. [4] Dănuleţiu, A., 2006. Analiza echilibrului financiar al întreprinderii , Analele Universităţii din Oradea, Vol. Finanţe-Contabilitate şi Bănci, p.491-495. [5] Grama, A., Pavaloaia, D., 2008. Comparative Analysis using Bankruptcy Prediction Models. An online computer-based system , Proceedings of the 2nd European Computing Conference: New Aspects On Computers Research, 2nd ECC, Malta. [6] Marshall, C., 2000. Enterprise modelling with UML. Designing succesful software through business analysis , Addison Wesley. [7] Oprea, D., Meşniţă, G

References Allain, E., and Brenac, T., 2012. Modèles linéaires généralisés appliqués à l'étude des nombres d'accidents sur des sites routiers: le modèle de Poisson et ses extensions. Recherche Transports Sécurité, 72, 3-18. Antonio, K., Frees, E. W., and Valdez, E. A., 2012. A multilevel analysis of intercompany claim counts. ASTIN Bulletin, 40(1), 150-177. Antonio, K., and Valdez, E. A., 2010. Statistical concepts of a priori and a posteriori risk classification in insurance. Advances in Statistical Analysis, 96(2), 187-224. Boucher, J. P., Denuit, M., and

. Zeszyty Problemowe Postępów Nauk Rolniczych, 577 , 3-12. Baradaran Motie, J., Miraei Ashtiani, S. H., Abbaspour-Fard, M. H., Emadi, B. (2014). Modeling physical properties of lemon fruits for separation and classification. International Food Research Journal , 21 (5), 1901-1909. Bozokalfa, M. K., Kilic, M. (2010). Mathematical modeling in the estimation of pepper (Capsicum annum L.) fruit volume. Chilean Journal of Agricultural Research , 70 (4), 626-632. Burt, S.A. (2004). Essential oils: Their antibacterial properties and potential applications in foods: Av review

Andersen, P. & Petersen, N. (1993). A Procedure for Ranking Efficient Units in Data Envelopment Analysis. Management Science , 39: 1261-1264. Banker, R., Charnes A. & Cooper W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science , 30:1078-1092. Banker, R. & Morey, R. (1986). Efficiency Analysis for Exogenously Fixed Inputs and Outputs. Operations Research , 34(4): 513-521. 10.1287/opre.34.4.513 Boussofiane, A., Dyson G. & Thanassoulis E. (1991). Applied Data Envelopment Analysis European

REFERENCES 1. Abelaira H.M., Réus G.Z., Quevedo J.: Animal models as tools to study the pathophysiology of depression. Revista Brasileira de Psiquiatria , 35, 2013 2. Avgustinovich D.F., Kovalenko I.L., Kudryavtseva N.N.: A model of anxious depression: persistence of behavioral pathology. Neuroscience and Behavioral Physiology , 35, 917–924, 2005 3. Berton O. et al.: Essential role of BDNF in mesolimbic dopamine pathway in social defeat stress. Science , 311, 864-868, 2006 4. Brown G.W., Prudo R.: Psychiatric disorder in a rural and an urban population

Abstract

Given the recent renewed interest in alternative description of gravity theories in terms of topological BF models (possibly with extra-constraints) as well as in dual formulations of linearized gravity (DFLG), all consistent interactions in D=6 involving an Abelian BF model with a maximal field spectrum and the DFLG via a massless tensor field with the mixed symmetry of the type (3,1) are considered.

References Abonyi, J. and Babuška, R. (2000). Local and global identification and interpretation of parameters in Takagi-Sugeno fuzzy models, 9th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE, San Antonio, CA, USA , pp. 835-840. Babuška, R. (1998). Fuzzy Modeling for Control , Kluwer Academic Publishers, London. Billings, S.A. and Zhu, Q.M. (1994). Nonlinear model validation using correlation test, International Journal of Control 60 (6): 1107-1120. Boukhris, A., Mourot, G. and Ragot, J. (1999). Non-linear dynamic system identification: A multiple-model