| 
        
          |  
         
               Madala,H.R. and Ivakhnenko,A.G. Inductive Learning Algorithms
                for Complex Systems Modeling. CRC Press Inc., Boca Raton, 1994.
               Müller,J.-A. and Ivakhnenko,A.G. Selbstorganisation von
                Vorhersagemodellen. Berlin, VEB Verlag Technik, 1984.
               Ivakhnenko,A.G., and Osipenko,V.V. Algorithms of Transformation
                of Probability Characteristics into Deterministic Forecast. Sov.
                J. of Automation and Information Sciences, 1982, vol.15, no.2,
                pp.7-15.
               Ivakhnenko,A.G., Peka,P.Yu., and Vostrov,N.N. Kombinirovannyj
                Metod Modelirovanija Vodnych i Neftianykh Polej (Combined Method
                of Water and Oil Fields Modeling). Kiev: Naukova Dumka, 1984.
               Ivakhnenko,A.G., and Müller,J.A. Problems of Computer
                Clustering of the Data Sampling of Objects under Study. Sov.
                J. of Automation and Information Sciences, 1991, vol.24, no.1,
                pp.58-67.
               Ivakhnenko,A.G., Petukhova,S.A., et al. Objective Choice of
                Optimal Clustering of Data Sampling under Non-robust Random Disturbances
                Compensation. Sov. J. of Automation and Information Sciences,
                1993, vol.26, no.4, pp. 58-65.
               Ivakhnenko,A.G. and Ivakhnenko,G.A. Simplified Linear
                Programming Algorithm as Basic Tool for Open-Loop Control. System
                Analysis Modeling Simulation (SAMS), 1996, vol.22, pp.177-184.
               Ivakhnenko,A.G. An Inductive Sorting Method for the Forecasting
                of Multidimensional Random Processes and Events with the Help
                of Analogues Forecast Complexing. Pattern Recognition and Image
                Analysis, 1991, vol.1, no.1, pp.99-108.
               Ivakhnenko,A.G., Ivakhnenko,G.A. and Müller,J.A.
                Self-Organisation of Neuronets with Active Neurons. Pattern
                Recognition and Image Analysis, 1994, vol.4, no.2, pp.177-188.
               Ivakhnenko,G.A. Self-Organisation of Neuronet with Active Neurons
                for Effects of Nuclear Test Explosions Forecastings. System
                Analysis Modeling Simulation (SAMS), vol.20, 1995, pp.107-116.
               Farlow,S.J.,(ed.) Self-organising Methods in Modeling
                (Statistics: Textbooks and Monographs, vol.54), Marcel Dekker
                Inc., New York and Basel, 1984.
               Aksenova,T.I. and Yurachkovsky,Yu.P. A Characterisation
                at Unbiased Structure and Conditions of Their J-Optimality, Sov.
                J. of Automation and Information Sciences, vol.21, no.4, 1988,
                pp.36-42.
               Beer,S. Cybernetics and Management, English Univ.Press, London,
                1959, p.280.
               Gabor D. Perspectives of Planing. Organisation of Economic
                Cooperation and Development. Emp. College of Sci. and Technology,
                London, 1971.
               Belogurov,V.P. A criterion of model suitability for forecasting
                quantitative processes. Sov. J. of Automation and Information
                Sciences, 1990, vol.23, no.3, p.21-25.
               Sawaragi,Y., Soeda,T. et al. Statistical Prediction of Air
                Pollution Levels Using Non-Physical Models, Automatica (IFAC),
                vol.15, no.4, 1979, p.441-452.
               Ivakhnenko,A.G., and Müller,J.A. Parametric and Nonparametric
                Selection Procedures in Experimental Systems Analysis. Systems
                Analysis, Modelling and Simulation (SAMS), 1992, vol.9, pp.157-175.
               Ivakhnenko A.G., Krotov G.I. and Cheberkus V.I. Harmonic and
                exponential-harmonic GMDH algorithms for long-term prediction
                of oscillating processes. Part I. Sov. J. of Automation and
                Information Sciences, v.14, no.1, 1981, p.3-17.
               Ivakhnenko A.G., Krotov G.I. Multiplicative and Additive Non-linear
                GMDH Algorithm with factor degree optimization. Sov. J. of
                Automation and Information Sciences, v.17, no.3, 1984,p.13-18.
               Ivakhnenko,A.G., Ivakhnenko,G.A., and Müller,J.A. Self-Organisation
                of Optimum Physical Clustering of the Data Sample for Weakened
                Description and Forecasting of Fuzzy Objects. Pattern Recognition
                and Image Analysis, 1993, vol.3, no.4, pp.415-421.
               Triseev,Yu.P. Approaches to the Solution of Mathematical Programming
                Problems on the Basis of Heuristic Self-Organisation. Sov.
                J. of Automation and Information Sciences, 1987, vol.20, no.3,
                pp.30-37.
               Zholnarsky,A.A. Agglomerative Cluster Analysis Procedures for
                Multidimensional Objects: A Test for Convergence. Pattern Recognition
                and Image Analysis, 1992, vol.25, no.4, pp.389-390.
               Stepashko V.S. and Kostenko Ju.V. GMDH Algorithm for Two-Level
                Modeling of Multivariate Cyclic Processes, Sov. J. of Automation
                and Information Sciences, 1987, vol.20, no.4.
               Ivakhnenko, A.G. and Stepashko,V.S., Pomekhoustojchivost' Modelirovanija
                (Noise Immunity of Modeling). Kiev: Naukova Dumka, 1985.
               Ivakhnenko,A.G. and Yurachkovsky,Yu.P. Modelirovanie Slozhnykh
                System po Exsperimentalnym Dannym (Modeling of Complex Systems
                after Experimental Data). Moscow: Radio i Svyaz, 1986, p.118.
               Stepashko V.S. Asymptotic Properties of External Criteria for
                Model Selection, Sov. J. of Automation and Information Sciences,
                1988, vol.21, no.6, pp.84-92.
               Stepashko V.S. Structural Identification of Predictive Models
                under Conditions of a Planned Experiment, Sov. J. of Automation
                and Information Sciences, 1992, vol.25, no.1, pp.24-32.
               Stepashko V.S. GMDH Algorithms as Basis of Modeling Process
                Automation after Experimental Data, Sov. J. of Automation and
                Information Sciences, vol.21, no.4, 1988, pp.43- 53.
               Ivakhnenko, A.G., Müller, J.-A.: Present state and new
                problems of further GMDH development. SAMS, vol.20, no.1-2,
                1995, pp.3-16.
               Müller, J.-A., Lemke,F.: Self-Organising modelling and
                decision support in economics. Proc. of IMACS'95, Gordon and Breach
                Publ. 1995, pp.135-138.
               Lemke, F.: SelfOrganize! - software tool for modelling and
                prediction of complex systems. SAMS, vol.20, no.1-2, 1995,
                pp.17-28.
               Müller, J.-A.: Analysis and prediction of ecological systems.
                SAMS, vol.21, 1996.
               Ashby An introduction to cybernetics. J. Wiley, New York 1958.
               Ivakhnenko, A.G., Müller, J.-A.: Self-organisation
                of nets of active neurons. SAMS, vol.20, no.1-2, 1995,
                pp.93-106.
               Hild, Ch.R., Bozdogan H.: The Use of Information-Based Model
                Selection Criteria in the GMDH Algorithms. SAMS, vol.20,
                no.1-2, 1995, pp.29-50.
               Lange T.: A New Principle of Creation of Selection Criteria
                for Automatic Model Selection With Uncertainty of Data SAMS,
                vol.20, no.1-2, 1995, pp.79-92.
               Wang Xiufeng, L.B. Self-Organizing Methods Modelling With "Concentrated"
                Variables. SAMS, vol.20, no.1-2, 1995, pp.51-58.
               Forrester J.W. World dynamics, Wright-Allen Press, Inc., Cambridge,
                Massachusetts, 1972.
               Shankar R. The GMDH. Master thesis. Univ. of Delaware, 1972,
                250p.
               Wald A. Sequential Analysis. London, Charman and Hall Ltd.,
                1940, 327p.
             |  |