| I.6 SIMULATION AND MODELING | Article |
PROGNOSTICATION OF EFFICIENCY OF MEDICAL AND PROPHYLACTIC ... |
Abstract: This article is devoted to the questions of prognostication of efficiency medical and prophylactic
measures at renewal of the broken equilibrium of human organism by vegetable medications. |
| I.6.3 Applications | Article |
PROGNOSTICATION OF EFFICIENCY OF MEDICAL AND PROPHYLACTIC MEASURES AT ... |
Abstract: This article is devoted to the questions of prognostication of efficiency medical and prophylactic
measures at renewal of the broken equilibrium of human organism by vegetable medications. |
| I.2.2 Automatic Programming | Article |
Program Invariants Generation over Polynomial Ring using Iterative Methods. |
Abstract: A solution for program polynomial invariant generation problem is presented. An iteration upper approximation method that was successfully applied on free algebras in this paper was adopted |
| I.2.11 Distributed Artificial Intelligence | Article |
PROGRAMMING OF AGENT-BASED SYSTEMS |
Abstract: The purpose of the paper is to explore the possibility of applying the language PRALU, proposed for description of parallel logical control algorithms and rooted in the Petri net formalism f |
| I.4.7 Feature Measurement | Article |
PROJECTIVE METHODS OF IMAGE RECOGNITION |
Abstract: We propose a method for image recognition on the base of projections. Radon transform gives an
opportunity to map image into space of its projections. Projection properties allow constructi |
| I.5.2 Design Methodology | Article |
RECOGNITION ON FINITE SET OF EVENTS: BAYESIAN ANALYSIS ... |
Abstract: The problem of recognition on finite set of events is considered. The generalization ability of classifiers
for this problem is studied within the Bayesian approach. The method for non-unif |
| I.5.1 Models | Article |
RECURRENT PROCEDURE IN SOLVING THE GROUPING INFORMATION PROBLEM IN APPLIED... |
Abstract: Number of The grouping information problem in its two basic manifestations recovering function,
represented by empirical data (observations) and problem of classification (clusterization) a |
| I.6 SIMULATION AND MODELING | Article |
REDUCTION MEASUREMENTS FOR CALCULATION IN FUZZY EXPERIMENT SCHEME |
Abstract: The papers is dedicated to the questions of modeling and basing super-resolution measuringcalculating
systems in the context of the conception “device + PC = new possibilities”. By the |
| I.2.6 Learning | Article |
RESERVOIR FORECASTING NEURO-FUZZY NETWORK AND ITS LEARNING |
Abstract: The idea of Reservoir Computing has become so popular recently due to its computational efficiency
and the fact that just only a linear output layer must be taught. In this paper a reservoi |
| I.2.1 Applications and Expert Systems | Article |
RESOURCE APPROACH TO DATA MINING BASED ON NETWORK TRAFFIC |
Abstract: In the presented paper is considered resource approach to intellectual data analyses based on
network traffic. A model for calculation of loading on different segments of the network in the |
| I.2.3 Deduction and Theorem Proving | Article |
RISK BEHAVIOUR IN A SET OF INTERVAL ALTERNATIVES |
Abstract: Problem comparing alternatives under interval uncertainty is studied. It is assumed that the
compared alternatives have indicators of quality in the form of interval estimates. It is shown |
| I.2.9 Robotics | Article |
ROBOT CONTROL USING INDUCTIVE, DEDUCTIVE AND CASE BASED REASONING |
Abstract: The paper deals with a problem of intelligent system’s design for complex environments. There is
discussed a possibility to integrate several technologies into one basic structure that co |
| I.2.6 Learning | Article |
SEARCHING FOR NEAREST STRINGS WITH NEURAL-LIKE STRING EMBEDDING |
Abstract: We analyze an approach to a similarity preserving coding of symbol sequences based on neural
distributed representations and show that it can be viewed as a metric embedding process.
Key |
| I.2.0 General | Article |
SECOND ATTEMPT TO BUILD A MODEL OF THE TIC-TAC-TOE GAME 1 |
Abstract: We want to make a program which can play any game or in other words we want to make AI. It is
impossible to include in this program the rules of all games and that is why our program should |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
SELECTIVE EVOLUTION CONTROL METHOD FOR EVOLUTION STRATEGIES WITH NEURAL ... |
Abstract. This paper presents a new evolution control method to reduce the number of computationally expensive simulations for evolution strategies with fitness function models. A feedforward neural n |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
SELF EVOLVING CHARACTER RECOGNITION USING GENETIC OPERATORS |
Abstract: In this paper, a novel approach for character recognition has been presented with the help of genetic
operators which have evolved from biological genetics and help us to achieve highly acc |
| I.6.4 Model Validation and Analysis | Article |
SELF-CITATIONS EFFECT ON SCIENTOMETRIC INDEXES |
Abstract: Scientometric studies on self-citations reveal variety of aspects, like attempted fraud approaching a
crime, a self-advertising tool, a standard scientific publication practice that saves s |
| I.2.9 Robotics | Article |
SELF-LEARNING FUZZY SPIKING NEURAL NETWORK AS A NONLINEAR PULSE-POSITION ... |
Abstract: Architecture and learning algorithm of self-learning spiking neural network in fuzzy clustering task are
outlined. Fuzzy receptive neurons for pulse-position transformation of input data ar |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
SELF-MODIFICATED PREDICATE NETWORKS |
Abstract: A model of self-modificated predicate network with cells implementing predicate formulas in
the form of elementary conjunction is suggested. Unlike a classical neuron network the proposed m |
| I.2.1 Applications and Expert Systems | Article |
SELF-ORGANIZATION OF FUNCTIONING PROCESS OF EXPERT SYSTEM WITH |
Annotation: Optimization of design, creation, functioning and accompaniment processes of expert system is the
important problem of artificial intelligence theory and decisions making methods techniqu |
| I.2.8 Problem Solving, Control Methods, and Search | Article |
SELF-ORGANIZING ROUTING ALGORITHM FOR WIRELESS SENSORS NETWORKS (WSN) USING ... |
Abstract: This paper describes the basic tools to work with wireless sensors. TinyOShas a component-based architecture which enables rapid innovation and implementation while minimizing code size as r |
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