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 |
I. Computing Methodologies | Article |
THE MODEL OF DECISION SUPPORT SYSTEM FOR A MANUFACTURING COMPANY |
Abstract: Decision making processes in manufacturing companies are becoming extremely complex and require
more and more knowledge, both of technological quality of products, concerning a production p |
I.1.3 Languages and Systems | Article |
THE PRODUCTION SCHEDULING IN ASSEMBLY SYSTEM WITH EVOLUTIONARY ALGORITHM |
Abstract: In this paper an evolutionary algorithm is proposed for solving the problem of production scheduling in
assembly system. The aim of the paper is to investigate a possibility of the applicat |
I.2.7 Natural Language Processing | Article |
THE STUDY OF FACTORS RELADED WITH SINGLE-DOCUMENT KEYWORD EXTRACTION |
Abstract: In this paper we consider the problem of keyword extraction for the document annotation. We study
different statistic-based measures for such extraction and compare the results with the ann |
I.5.1 Models | Article |
THE USAGE OF NEURAL NETWORKS FOR THE MEDICAL DIAGNOSIS |
Abstract: The problem of cancer diagnosis from multi-channel images using the neural networks is investigated.
The goal of this work is to classify the different tissue types which are used to determ |
I.4.8 Scene Analysis | Article |
THE USE OF TIME-SERIES OF SATELLITE DATA TO FLOOD RISK MAPPING |
Abstract: In this paper we propose a novel approach for flood hazard mapping by processing and analyzing a
time-series of satellite data and derived flood extent maps. This approach is advantageous i |
I.6.4 Model Validation and Analysis | Article |
THEORETICAL ANALYSIS OF EMPIRICAL RELATIONSHIPS FOR PARETODISTRIBUTED... |
Abstract: In this paper we study some problems involved in analysis of Pareto-distributed scientometric data
(series of citations versus paper ranks). The problems include appropriate choices of i) t |
I.2 ARTIFICIAL INTELLIGENCE | Article |
THEORY OF NON-VIOLENT INTERACTION |
Abstract: The basic of the hypothetical non-violent theory of interaction is provided here. Introformational method
is proposed to calculate the response to non-violent influence among intellectual p |
I.2 ARTIFICIAL INTELLIGENCE | Article |
TIME SERIES PROGNOSIS OF GDP WITH THE SYSTEM GMDH-SHELL (EXPERIMENTAL WORK) |
Abstract: Time series prognosis of economical indexes is one of the main problems of econometrics. In the
paper we study possibility to give an interval prognosis of time series using the set of the |
I. Computing Methodologies | Article |
TOWARD THE REFERENCE MODEL FOR AGENT-BASED SIMULATION OF EXTENDED ENTERPRISES |
Abstract: The main aim of the research which partial results are presented in this paper is to develop full-blown
reference model for creating simulation experiments supporting management of Extended |
I.2.4 Knowledge Representation Formalisms and Methods | Article |
TOWARDS A SEMANTIC CATALOG OF SIMILARITY MEASURES |
Abstract: The tasks that encloses the Semantic Web often requires semantic comparisons between classes,
properties, relations and instances, that mainly consist in semantic similarity. As a consequen |
I.2.4 Knowledge Representation Formalisms and Methods | Article |
TOWARDS CONTENT-SENSITIVE ACCESS TO THE ARTEFACTS OF THE BULGARIAN ICONOGRAPHY |
Abstract: This paper presents an ontological model of the knowledge about Bulgarian iconographical artefacts. It
also describes content-sensitive services for access, browse, search and group iconogr |
I.2.0 General | Article |
TOWARDS THE NOOSPHERE OF INTANGIBLE (ESOTERICISM FROM MATERIALISTIC VIEWPOINT) |
Abstract: Exploration of intangible world is under the serious influence of esotericism. Mystics, religions,
unrestrained use of metaphors, fairy tales, gossips, unverified and uncertified “facts�� |
I.5.4 Applications | Article |
TRAINING A LINEAR NEURAL NETWORK WITH A STABLE LSP SOLUTION FOR JAMMING ... |
Abstract: Two jamming cancellation algorithms are developed based on a stable solution of least squares
problem (LSP) provided by regularization. They are based on filtered singular value decompositi |
I.5 PATTERN RECOGNITION | Article |
TWO APPROACHES TO ONE OPTIMIZATION PROBLEM IN RECOGNITION THEORY |
Abstract: In recognition theory a number of optimization problems appear. The search for the maximum solvable subsystem of the system of linear inequalities is one of these tasks. In this paper two ap |