| I.2.4 Knowledge Representation Formalisms and Methods | Article |
Taxonomyzation of Natural Language Texts |
Abstract: An approach for forming taxonomies based on semantic analysis of text arrays is presented
in this paper. The algorithm and the main stages of its work are described. The specification of in |
| I.2.9 Robotics | Article |
TELEOPERATION AND SEMIAUTONOMY MOVEMENT MODES OF IBIS ROBOT |
Abstract: The work presented in this study is concerned on a subject of simulation and implementation of
teleoperation and semiautonomy modes for IBIS mobile robot. The construction of the robot as w |
| I.2.10 Vision and Scene Understanding | Article |
TEMPORAL VIDEO SEGMENTATION VIA SPATIAL IMAGE SEGMENTATION |
Abstract: Temporal video segmentation techniques provide unwavering support for video parsing and content analysis. The foremost challenge in storage and retrieval system creation is bridging the sema |
| I.2.1 Applications and Expert Systems | Article |
THE ANALYSIS OF NEURAL NETWORKS’ PERFORMANCE FOR MEDICAL IMAGE CLASSIFICATION |
Abstract: The tissue type classification is presented using the neural networks. The multi-spectral images of
uterine cervix were segmented using self-organizing Kohonen maps and k-means algorithm. T |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
THE APPLICATION OF DATA MINING METHODS TO THE CLASSIFICATION OF FINISHED ... |
Abstract: In this paper the review of applications of data mining is presented. The algorithm of the induction
across decision trees that was proposed for classifying large set of data is described i |
| I.2.0 General | Article |
THE ARGUMENT BASED COMPUTATION: SOLVING THE BINDING PROBLEM |
Abstract: In this paper, we further developed the argument-based model of syntactic operations that is argued to
represent the key to basic mental representations. This work concentrates on formal de |
| I.2.6 Learning | Article |
THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS ... |
Abstract: New non-conventional system of the computational intelligence is proposed. It has growing structure
similar to the Cascade-Correlation Learning Architecture designed by S. E. Fahlman and C. |
| I.2.6 Learning | Article |
THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS AND ITS LEARNING ... |
Abstract: New non-conventional system of the computational intelligence is proposed. It has growing structure
similar to the Cascade-Correlation Learning Architecture designed by S. E. Fahlman and C. |
| I.2.6 Learning | Article |
THE CASCADE NEO-FUZZY ARCHITECTURE AND ITS ONLINE LEARNING ALGORITHM |
Abstract: in the paper learning algorithm for adjusting weight coefficients of the Cascade Neo-Fuzzy Neural
Network (CNFNN) in sequential mode is introduced. Concerned architecture has the similar st |
| I.2.6 Learning | Article |
THE CASCADE NEO-FUZZY ARCHITECTURE USING CUBIC–SPKINE ACTIVATION FUNCTIONS |
Abstract: in the paper new hybrid system of computational intelligence called the Cascade Neo-Fuzzy Neural Network (CNFNN) is introduced. This architecture has the similar structure with the Cascade-C |
| I.2.6 Learning | Article |
THE CASCADE ORTHOGONAL NEURAL NETWORK |
Abstract: in the paper new non-conventional growing neural network is proposed. It coincides with the Cascade-
Correlation Learning Architecture structurally, but uses ortho-neurons as basic structur |
| I.2.1 Applications and Expert Systems | Article |
THE CONSTRUCTION OF COMPETENCY-BASED BUSINESS GAME OPERATIONAL MODEL |
Abstract: Professional staff competences may have a substantial impact on business efficiency and
performance. Therefore many modern companies train their personnel in order to develop a set of profe |
| I.2.3 Deduction and Theorem Proving | Article |
THE DEVELOPMENT OF PARALLEL RESOLUTION ALGORITHMS USING THE GRAPH REPRESENTATION |
Abstract. The parallel resolution procedures based on graph structures method are presented. OR-, AND- and
DCDP- parallel inference on connection graph representation is explored and modifications to |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
THE DYNAMIC MODEL OF THE INNOVATION FUNNEL INDICATORS AND THEIR TRAJECTORIES |
Abstract: The article considers innovation system modeling by the instrumentality of integrated approach. This
approach consists of three main parts: differential equation system and stability analys |
| I.2.6 Learning | Article |
THE E-LEARNING SYSTEM WITH EMBEDDED NEURAL NETWORK |
Abstract: Perhaps the most efficient of modern didactic policies is e-learning course. E-education shapes the
culture of life-long learning and teaching and enables contemporary learners to meet the |
| I.2.7 Natural Language Processing | Article |
THE EDUCATIONAL TECHNOLOGY FOR LEARNING FOREIGN WORDS |
Abstract: German psychologist Hermann Ebbinghaus, the first person studied a memory, experimentally
publishes his forgetting curve, which characterized the ability of a human brain to remember the in |
| I.2.8 Problem Solving, Control Methods, and Search | Article |
THE EFFECT OF INTRODUCTION OF THE NON-LINEAR CALIBRATION FUNCTION AT THE ... |
Abstract: The paper presents the experiment on the time series whose elements are month values of BIS effective exchange rate of USD from January 1994 till March 2010. A tendency of BIS (Bank of Inter |
| I.2.5 Programming Languages and Software | Article |
THE EXPERIENCE OF THE AGENT-BASED SIMULATION SYSTEM DEVELOPING |
Abstract: This paper discusses the problems of the agent-based simulation system design. It is well
known that agent models extend the capabilities of simulation for solving some problems that can’ |
| I.2.3 Deduction and Theorem Proving | Article |
THE INTELLIGENT DECISION SUPPORT SYSTEM FOR DIAGNOSTIC OF DIFFICULT DISEASES... |
Abstract: The work is devoted to methods and software tools of designing intelligent decision support systems
(IDSS), which helps professionals (decision making persons) helping to diagnose complex p |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
THE INVERSE MASLOV METHOD AND ANT TACTICS FOR EXHAUSTIVE SEARCH DECREASING |
Abstract: Algorithms for soling artificial intelligence problems allowing to formalize by means of predicate
language are presented in the paper. These algorithms use the modified Maslov’s inverse |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
THE INVERSE METHOD FOR SOLVING ARTIFICIAL INTELLIGENCE PROBLEMS IN ... |
Abstract: The paper is devoted to the modifying of Maslov inverse method for a special form of predicate
formulas used in the solution of artificial intelligence problems. An algorithm of the inverse |
| I.2.1 Applications and Expert Systems | Article |
THE LOCALIZATION PROCEDURES OF THE VECTOR OF WEIGHTING COEFFICIENTS ... |
Abstract: In terms of binary relations the author analyses the task of an individual consumers’ choice on the
teaching excerpts set. It is suggested to analyse the function of consumer’s value as |
| I.2.6 Learning | Article |
THE MODEL FOR THE COMBINED CASCADE RADIAL BASIS NEURAL NETWORK AND ITS ... |
Abstract: In this article, the combined cascade radial basis network is proposed and a hybrid learning
method is presented, in which the optimal values for network’s parameters are calculated in tw |
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