1. THEORETICAL FUNDAMENTALS OF INDUCTIVE MODELLING
1. OPTIMAL COMPLEXITY OF INDUCTIVE MODELS, REGULARIZATION, SELECTION CRITERIA
• Volodymyr Stepashko Selective Properties of the GMDH Criteria for Inductive Modeling
• Aleksandr Sarychev System Regularity Criterion of GMDH For Modelling in the Class of Regression Equations Systems with Random Coefficients
• Ievgeniia Savchenko Double-criterion Choice of the Optimal Model in GMDH Algorithms
• Yuriy Dzyadyk Some Fundamental Topics of Linear Modelling
2. ENHANCED AND OPTIMIZED GMDH ALGORITHMS
• Changzheng He, Bing Zhu, Mingcui Zheng TS-Based GMDH Model and Its Application
• Oleksandr Samoilenko, Volodymyr Stepashko Method of Successive Elimination of Spurious Arguments for Effective Solution the Search-Based Modelling Tasks
• Alexandr Kiryanov Using of Prior Information in Polynomial Multilayered GDMH
• Natalia Vysotska Experimental Research of Noise Influence on Estimation Precision for Polyharmonic Model Frequencies
• Andriy Nikitenko On some LS-method Modification for Parameter Estimating of Discrete Dynamic Models
3. INDUCTIVE INFERENCE AND CONTIGUOUS PROBLEMS
• Yuriy Valkman, O.Y. Dembovskyy Induction, Traduction, Abduction and Deduction in the Processes of Hypotheses Generation and Justification
• Yuriy Valkman, A.Y Rykhalsky Architecture of Model Parametric Space: Hierarchy in Simon’s Architecture of Complexity
• Anatoliy Gupal Principles of Construction of Inductive Inference Procedures
• Iurii Prokopchuk Method Of Limiting Generalizations For Solving Logical And Computing Tasks
• Galina Digo, Natalya Digo Inductive Approach to Minimizing Algorithmically the Given Objective Function
4. INDUCTIVE ALGORITHMS FOR CLASSIFICATION, CLUSTERIZATION, RECOGNITION.71
• Bohdan Yavorskyy, Yaroslav Dragan, Sicora L’ubomyr Reconstruction of Algorithms for Spread Spectrum Signals Detection into a Frame of the Inductive Modeling Method
• Catherine Shchurevich, Elena Kruchkova Automatic Clusterization of Knowledge Bases
• Natalya Ivakhnenko Criterion of Congruence as a Criterion of Selection for Clusterization
• Sergey Subbotin, Andrey Oleynik PSO with Control of Velocity Change for Feature Selection
• Lyudmyla Sarycheva Quality Criteria for GMDH-based Clustering


2. NEW APPROACHES IN INDUCTIVE MODELLING
1. HYBRID GMDH-TYPE ALGORITHMS AND NEURAL NETWORKS
• N. Nariman-zadeh, F. Kalantary, A. Jamali , F. Ebrahimi Robust Pareto Design of GMDH-type Neural Networks for Systems with Probabilistic Uncertainties
• Godfrey Onwubolu, Anurag Sharma, Ashwin Dayal, Deepak Bhartu, Amal Shankar, Kenneth Katafono Hybrid Particle Swarm Optimization and Group Method of Data Handling for Inductive Modeling
• Vitalij Pavlenko, Aleksandr Fomin Methods for Black-Box Diagnostics Using Volterra Kernels
• Ivan Melnyk Methods of Solving the Problem of Construction the Optimum Regression Model as a Discrete Optimization Task
• Andrey Pokrovsky, Oleg Sotnikov Difficulties in Mathematical Modelling of Control Processes in One-type Neuron Populations
• Volodymyr Lytvynenko, Petro Bidyuk, Volodymyr Myrgorod Application of the Method and Combined Algorithm on the Basis of Immune Network and Negative Selection for Identification of Turbine Engine Surging
• Oleg Kovarik, Pavel Kordik Optimizing Models Using Continuous Ant Algorithms
2. FUZZY AND INTERVAL APPROACHES IN INDUCTIVE MODELLING
• Yuriy Zaychenko The Investigations of Fuzzy Group Method of Data Handling with Fuzzy Inputs in the Problem of Forecasting in Financial Sphere
• Mikhaylo Lychak, Vladimir Evtushok About the Interval (Set) Analysis of the Processes
• Alexander Pavlov, Vladimir Pavlov Fuzzy Algorithm of GMDH and its Expedient Modifications with Combinatorial-Selective Generation of Particular Models
• Yevgeniy Bodyanskiy, Olena Vynokurova Hybrid Radial-Basis Neuro-Fuzzy Wavelon in the Non-Stationary Sequences Forecasting Problems
• Oleg Mytnyk Balanced Neurofuzzy Models
3. HIGH-PERFORMANCE COMPUTING, INCLUDING PARALLEL AND DISTRIBUTED COMPUTING
• Oresta Bandyrska, Marta Talan, Volodymyr Riznyk Perfect Vector Sequencing Theory and Its Applications for System Modeling
• Anatoliy Gorbatyuk, Sergey Gorbatyuk Algostructural Designing of Computing Models
• Pavel Kordik, Jakub Spirk, Ivan Simecek Parallel Computing of GAME Models
• Oleksiy Koshulko, Anatoliy Koshulko Acceleration of GMDH Combinatorial Search Using HPC Clusters
• Vitalij Pavlenko, Viktor Burdeinyi Computing Simulation in Orders Based Transparent Parallelizing
• Volodymyr Stepashko, Serhiy Yefimenko Optimal Paralleling for Solving Combinatorial Modelling Problems
• Frank Lemke Parallel Self-Organizing Modeling


3. REAL-WORLD APPLICATIONS OF INDUCTIVE MODELING
1. DATA&KNOWLEDGE MINING, RELATIONSHIPS DETECTION USING INDUCTIVE MODELLING
• Mohammad Reza Davari, Fariborz Ghahremani, Bahram Kazempour, Behrooz Minaei Making Use of Data Mining for Presenting Behavior Model of Airline Agencies Ticketing in the supply chain of airline companies
• Fariborz Ghahremani, Behroz Minaei, M.Reza Davari, Bahram Kazempour Data Mining for Customer Relationship Management
• Bahram Kazempour, Mohammad Reza Davari, Fariborz Ghahremani, Behrooz Minaei Application of Data mining in the Specifying the Ongoing Rate of Income Rise in Over-Flight Field
• Oles Hodych, Kostiantyn Hushchyn, Iouri Nikolski, Volodymyr Pasichnyk, Yuri Shcherbyna The Dynamic Image Segmentation for Sign Language Training Simulator
2. KNOWLEDGE DISCOVERY WORKFLOW AUTOMATION, AUTOMATED DATA PREPROCESSING
• Miroslav Cepek, Miloslav Pavlicek, Pavel Kordik, Miroslav Snorek Automatic Method for Data Preprocessing for the GAME Inductive Modelling Method
• Nelya D. Vertinskaya Mathematical Modelling on the Basis of the Projective Geometry
• Sergey Subbotin, Andrey Oleynik Evolutionary Method with Clustering for Feature Selection
• Petro Lezhniuk, Vladimir Netrebskiy Self-optimization of Models of Electro power Systems as Display of a Principle of the Least action
• Ales Pilny, Pavel Kordik, Miroslav Snorek Behaviour of FeRaNGA Method for Feature Ranking During Learning Process Using Inductive Modelling
3. APPLIED SOFTWARE TOOLS FOR CONSTRUCTION OF INDUCTIVE MODELS
• Nina Tovmachenko, Igor Sichkar, Olga Lukovich, Alexandr Kurbatov Software for Data Analysis and its Applications in the Distance Courses of “Prometheus” System
• Nataliya Shcherbakova, Volodymyr Stepashko Integrated Environment of Information Handling and Storage in the Tasks of Inductive Modeling
• Serhiy Yefimenko, Volodymyr Stepashko Technologies of Numerical Investigation and Applying of Data-Based Modeling Methods
4. TIME SERIES ANALYSIS AND PREDICTION BY MEANS OF INDUCTIVE MODELS
• Gregory Ivakhnenko Short-Term Processes Forecasting By Analog Complexing GMDH Algorithm
• Y.N. Bardachev, A.A. Didyk Revealing of Informative Multifractal Properties of Network Traffic for Anomalies Detection
• Nina Kondrashova, Andriy Pavlov, Yaroslav Pavlov Sample Division with Sliding Interval as a Method of Increase of Accuracy for Time Series Forecast
• Godfrey Onwubolu, Alok Sharma Intrusion Detection System Using Hybrid Differential Evolution and Group Method of Data Handling Approach
• Dmytro Zubov, Yury Vlasov, Marina Grigorenko Method of the Decade Air’s Temperature Long-Range Prognosis with Robust Inductive Models and Analogy Principle Usage
• Yarema Zyelyk Correlation and Spectral Models in Stationary Estimation Problems of the Differential Rotation and the Latitudinal Drift of thе Magnetic Fields on the Sun
5. REAL-WORLD APPLICATIONS, INCLUDING SOLUTIONS IN ECOLOGY, ECONOMY, SOCIOLOGY, MEDICINE, TECHNOLOGY, BIOINFORMATICS
• Viktor Artemenko Estimation of Connections of Regional Indicators of Quality of Life Based on Structural Modeling
• Vitaliy Budashko DMI-Models in Modelling of Power Condition in PWM-Propulsion
• Oleksandra Bulgakova, Volodymyr Stepashko, Tetyana Parshikova, Iryna Novikova GMDH and Neural Network Application for Modelling Vital Functions of Green Algae under Toxic Impact
• Igor Dolgopolov Research of Semiotic Aspect of Understanding Process in Clinical Diagnostics
• Yue He, Dan Zhang, Yujie Cao An Application of Combination Prediction Model and Macroscopic Analysis in Predicting Asset-Liability Ratio
• Nataliya Obodan, Nataliya Makarenko Prognosis of Vitality of Deformable Elements as Problem of Inductive Modelling
• Nina Kondrashova, Andriy Pavlov GMDH-based Forecasting of the Test Results of Blood Samples in Task of the Effective Medicines Estimation
• Oleg Sotnikov, Emilia Zaprianova, Svetlana Sergeeva, Denislava Deleva, Andon Filchev, B. Sultanov, T. Krasnova Anti-ganglioside Antibodies Present in Serum of Patients with Multiple Sclerosis and of Immunized with Gangliosides Rabbits Alter Neuronal Electrical Characteristics
• Alexander Tyryshkin, Anatoly Andrakhanov, Andrey Orlov GMDH Application for Autonomous Mobile Robot’s Control System Construction
• Vladimir Vissikirsky, Volodymyr Stepashko, Ioannis Kalavrouziotis GMDH-Based Decision-Making Support for Ecological Processes