| I.2.11 Distributed Artificial Intelligence | Article |
TACTICAL MANAGEMENT OF SUPPLY CHAIN WITH AGENT BASED MODELING AND SIMULATION |
Abstract: Excellence in Supply Chain Management depends on timely and effective translation of market
demand into material and products control decisions across Supply Chain. As has been observed man |
| 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.5 PATTERN RECOGNITION | Article |
THE ALGORITHM BASED ON METRIC REGULARITIES |
Abstract: The new pattern recognition method is represented that is based on collective solutions by systems of metric regularities. Unlike previous methods based on voting by regularities discussed |
| 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. Computing Methodologies | Article |
THE APPLICATION OF DATA MINING METHODS TO THE CLASSIFICATION OF ... |
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 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.0 GENERAL | Article |
THE EXTENDED ALGEBRA OF ALGORITHMS WITH ADDITIONAL CYCLE ELIMINATION AXIOMATS |
Abstract: The existing, intuitive computation models, that is the virtual machines of Turing, Post, Kolmogorov,
Schönhage, Aho-Ullman-Hopcroft as well as the algorithms of Markov and Krinitski, and |
| I. Computing Methodologies | Article |
THE FUZZY-NEURO CLASSIFIER FOR DECISION SUPPORT |
Abstract: This paper aims at development of procedures and algorithms for application of artificial intelligence
tools to acquire process and analyze various types of knowledge. The proposed environm |
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