| I.5.1 Models | Article |
ADAPTIVE CLUSTERING OF INCOMPLETE DATA USING NEURO-FUZZY KOHONEN NETWORK |
Abstract: The clustering problem for multivariate observations often encountered in many applications connected with Data Mining and Exploratory Data Analysis. Conventional approach to solving these p |
| I.5.1 Models | Article |
ADAPTIVE FUZZY PROBABILISTIC CLUSTERING OF INCOMPLETE DATA |
Abstract: in the paper new recurrent adaptive algorithm for fuzzy clustering of data with missing values is
proposed. This algorithm is based on fuzzy probabilistic clustering procedures and self-lea |
| I.5.1 Models | Article |
ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON ... |
Abstract: The Gustafson-Kessel fuzzy clustering algorithm is capable of detecting hyperellipsoidal clusters of
different sizes and orientations by adjusting the covariance matrix of data, thus overco |
| I.5.1 Models | Article |
AN APPROACH TO COLLABORATIVE FILTERING BY ARTMAP NEURAL NETWORKS |
Abstract: Recommender systems are now widely used in e-commerce applications to assist customers to find
relevant products from the many that are frequently available. Collaborative filtering (CF) is |
| I.5.1 Models | Article |
Automated Building Extraction System Applied On High Resolution Satellite ... |
Abstract: The article is devoted to the development of the new Automated Building Extraction system applied on
High Resolution Satellite Imagery, which is based on an object-oriented approach and sof |
| I.5.1 Models | Article |
Bankruptcy risk forecasting under uncertainty with application of fuzzy |
Abstract: The problem of corporations’ bankruptcy risk forecasting under uncertainty is considered in this paper.
The application of neo-fuzzy cascade neural networks is suggested. The experimental |
| I.5.1 Models | Article |
CONSTRUCTION OF CLASS LEVEL DESCRIPTION FOR EFFICIENT RECOGNITION OF ... |
Abstract: Many artificial intelligence problems are NP-complete ones. To increase the needed time of such a
problem solving a method of extraction of sub-formulas characterizing the common features o |
| I.5.1 Models | Article |
CONVOLUTION NETWORKS AS A METHOD OF REALISATION OF CUSTOMS RISK-MANAGEMENT |
Abstract: The paper discusses the theoretical aspects of the mathematical model of convolutional neural networks
as a means of classifying the information was not originally a graphic of origin. The |
| I.5.1 Models | Article |
CROP STATE AND AREA ESTIMATION IN UKRAINE BASED ON REMOTE AND INSITU ... |
Abstract: This paper highlights the current state on establishing a network of test sites in Ukraine within the Joint
Experiment for Crop Assessment and Monitoring (JECAM) project of the Global Earth |
| I.5.1 Models | Article |
EFFICIENT SIMULATION FOR PROLOG IMPLEMENTATION OF IMAGE RECOGNITION PROBLEM |
Abstract: Pattern recognition problem using properties of parts of a recognizable objects and relations between
them is NP-hard. That is why quick recognition of an object with many elements is a dif |
| I.5.1 Models | Article |
EVALUATING MISCLASSIFICATION PROBABILITY USING EMPIRICAL RISK1 |
Abstract: The goal of the paper is to estimate misclassification probability for decision function by training
sample. Here are presented results of investigation an empirical risk bias for nearest n |
| I.5.1 Models | Article |
FLOOD RISK ASSESSMENT BASED ON GEOSPATIAL DATA |
Abstract: The problem statement of disaster risk assessment, based on heterogeneous information (from
satellites and in-situ data, and modelling data) is proposed, the problem solving method is groun |
| I.5.1 Models | Article |
FUZZY ARTMAP NEURAL NETWORKS FOR COMPUTER AIDED DIAGNOSIS |
Abstract: The economic and social values of breast cancer diagnosis are very high. This study explores the
predictive abilities of Fuzzy ARTMAP neural networks for breast cancer diagnosis. The data u |
| I.5.1 Models | Article |
FUZZY SETS AS A MEAN FOR UNCERTAINTY HANDLING: MATH, APPLIED MATH, HEURISTICS |
Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to Mathematics. The Theory of Probability is the classical example of that kind. The main pr |
| I.5.1 Models | Article |
FUZZY SETS: ABSTRACTION AXIOM, STATISTICAL INTERPRETATION, OBSERVATIONS ... |
Abstract: The issues relating fuzzy sets definition are under consideration including the analogue for separation
axiom, statistical interpretation and membership function representation by the condi |
| I.5.1 Models | Article |
FUZZY SETS: MATH, APPLIED MATH, HEURISTICS? PROBLEMS AND INTERPRETATIONS |
Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to
Mathematics. The Theory of Probability is the classical example of that kind. The main p |
| I.5.1 Models | Article |
HIGH-PERFORMANCE INTELLIGENT COMPUTATIONS ... |
Abstract: In this paper we present different approaches to multi-source data integration for the solution of complex applied problems, in particular flood mapping and vegetation state estimation using |
| I.5.1 Models | Article |
INFORMATION TECHNOLOGY OF PROCESSING INFORMATION OF THE CUSTOMS CONTROL |
Abstract: The paper considers the issues and highlighted the development of information technology processing
of information of customs control, which uses effective methods and tools to identify ris |
| I.5.1 Models | Article |
INTELLIGENCE ALGORITHMS FOR INCREASING NAVIGATION SYSTEMS ACCURACY |
Abstract: Application of neural network algorithm for increasing the accuracy of navigation systems are showing.
Various navigation systems, where a couple of sensors are used in the same device in d |
| I.5.1 Models | Article |
INTELLIGENT ANALYSIS OF MARKETING DATA |
Abstract: The main goal of this paper is to present and evaluate the possibility of using the methods and tools of Artificial Intelligence and Data Mining to analyze marketing data needed to support d |
| I.5.1 Models | Article |
JOINT STUDY OF VISUAL PERCEPTION MECHANISM AND COMPUTER VISION SYSTEMS THAT ... |
Abstract: Aspects of visual perception mechanism and pattern recognition methods are examined jointly. Latest
results from neurophysiology in studying the visual system of living beings are discussed |
| I.5.1 Models | Article |
LOGIC BASED PATTERN RECOGNITION - ONTOLOGY CONTENT (1) 1 |
Abstract: Pattern recognition (classification) algorithmic models and related structures were considered and
discussed since 70s: – one, which is formally related to the similarity treatment and so |
| I.5.1 Models | Article |
MATRIX “FEATURE VECTORS” IN GROUPING INFORMATION PROBLEM: LINEAR ... |
Abstract: The problem of classification, clusterization or patterns recognition is one the manifestation of grouping information problem (GIP) in applied researching. It involves, beside mentioned abo |
| I.5.1 Models | Article |
MODEL FOR ASTRONOMICAL DATING OF THE CHRONICLE OF HYDATIUS: ... |
Abstract: This article presents the details and the results of the application of a 'soft' model for astronomical
dating of the seven eclipses mentioned in the Chronicle of Hydatius, for the time in |
| I.5.1 Models | Article |
ON A METHOD OF MULTI-ALGORITHMIC CLASSIFICATION |
Abstract: In this paper the calculating estimates model, based on a system of logical regularities to
solve the supervised classification problem is considered. A method of determining the weighting
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