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Category I.2.6 Learning

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I.2.6 LearningArticle HYBRID SYSTEMS OF COMPUTATIONAL INTELLIGENCE EVOLVED FROM SELFLEARNING ... Abstract: Computational intelligence paradigm covers several approaches for technical problems solving in an intelligence manner, such as artificial neural networks, fuzzy logic systems, evolutionary 
I.2.6 LearningArticle A COMPUTER METHOD TO STUDY THE ENTIRETY OF STUDENTS’ KNOWLEDGE ACQUIRED DURING A Abstract: This paper considers the experimental research of measuring interconnections between the basic concepts, acquired during completion of a course in Computer Architecture. A special computer  
I.2.6 LearningArticle A NEW APPROACH FOR ELIMINATING THE SPURIOUS STATES ... Abstract: As is well known, the Convergence Theorem for the Recurrent Neural Networks, is based in Lyapunov´s second method, which states that associated to any one given net state, there always exi 
I.2.6 LearningArticle A STUDY OF APPLICATION OF NEURAL NETWORK TECHNIQUE ON SOFTWARE REPOSITORIES Abstract: Context: The use of software repositories is recent in software engineering. Different techniques have been applied to software engineering problems. We want to know the degree of applicati 
I.2.6 LearningArticle 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.2.6 LearningArticle ADAPTIVE COMPARTMENTAL WAVELON WITH ROBUST LEARNING ALGORITHM Abstract: In this paper a robust learning algorithm for adaptive compartmental wavelon based on R. Welsh criterion is proposed. Suggested learning algorithm under consideration allows the signals proc 
I.2.6 LearningArticle 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.2.6 LearningArticle 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.2.6 LearningArticle ADAPTIVE NEURO-FUZZY KOHONEN NETWORK WITH VARIABLE FUZZIFIER Abstract: The problem of neuro-fuzzy Kohonen network self-learning with fuzzy inference in tasks of clustering in conditions of overlapped classes is considered. The basis of the approach are probabi 
I.2.6 LearningArticle ADAPTIVE WAVELET-NEURO-FUZZY NETWORK IN THE FORECASTING ... Abstract: The architecture of adaptive wavelet-neuro-fuzzy-network and its learning algorithm for the solving of nonstationary processes forecasting and emulation tasks are proposed. The learning algo 
I.2.6 LearningArticle ANALOGIES BETWEEN TEXTS: MATHEMATICAL MODELS AND APPLICATIONS IN ... Abstract: The origin for the classification of analogy is a comparison procedure we use to make a conclusion about similarity between the source and the target. Whenever the comparison procedure is n 
I.2.6 LearningArticle ANALOGOUS REASONING AND CASE-BASED REASONING FOR INTELLIGENT ... Abstract: Methods of analogous reasoning and case-based reasoning for intelligent decision support systems are considered. Special attention is drawn to methods based on a structural analogy that tak 
I.2.6 LearningArticle APPROACHES TO SEQUENCE SIMILARITY REPRESENTATION Abstract: We discuss several approaches to similarity preserving coding of symbol sequences and possible connections of their distributed versions to metric embeddings. Interpreting sequence represen 
I.2.6 LearningArticle ARTIFICIAL INTELLIGENCE IN MONITORING SYSTEM Abstract: The article presents the neural network constructed in order to use it for monitoring. Its role is to recognize the events in alarm situations (theft, burglary etc.). The film presenting a  
I.2.6 LearningArticle CONCEPTUAL KNOWLEDGE MODELING AND SYSTEMATIZATION ON THE BASIS OF NATURAL ... Abstract: Knowledge management is aimed at the sustainable development and competitiveness increasing of an organization, a state, a human. The appropriateness of knowledge application for solving a n 
I.2.6 LearningArticle CONCEPTUAL KNOWLEDGE MODELING ON THE BASIS OF NATURAL CLASSIFICATION Abstract: It is difficult to exaggerate the importance, the urgency and complexity of “good” classifications creation, especially in knowledge management, artificial intelligence, decision making 
I.2.6 LearningArticle CONSTRUCTING OF A CONSENSUS OF SEVERAL EXPERTS STATEMENTS∗ Abstract: Let Γ be a population of elements or objects concerned by the problem of recognition. By assumption, some experts give probabilistic predictions of unknown belonging classes γ of objects  
I.2.6 LearningArticle DECISION TREES FOR APPLICABILITY OF EVOLUTION RULES IN TRANSITION P SYSTEMS Abstract: Transition P Systems are a parallel and distributed computational model based on the notion of the cellular membrane structure. Each membrane determines a region that encloses a multiset of 
I.2.6 LearningArticle DECISIONS ON SELECTING THE TRAINING ALGORITHM OF THE NEURAL NETWORK WITH ... Abstract: There is predicated a decision making problem with the finite set of neural network training algorithms as alternatives against a set of that neural network parameters, being controlled and 
I.2.6 LearningArticle DIAGARA: AN INCREMENTAL ALGORITHM FOR INFERRING IMPLICATIVE RULES FROM EXAMPLES Abstract: An approach is proposed for inferring implicative logical rules from examples. The concept of a good diagnostic test for a given set of positive examples lies in the basis of this approach. 
I.2.6 LearningArticle DIDACTIC DESIGNING OF RESOURCE SUPPORT FOR TRAINING ENVIRONMENT Abstract: Designing of the training environment with expected qualities is considered as a multidimensional technology of Didactic design, which represents the aggregate of methodology and designing  
I.2.6 LearningArticle EDUKIT: INFO-EDUCATIONAL PLATFORM ENABLING TO CREATE WEBSITES FOR SECONDARY ... Abstract: This article focuses on computerisation and informatisation of Ukrainian secondary schools. Some of the problems can be solved with the help of modern technologies, for instance, by present 
I.2.6 LearningArticle EVOLVING CASCADE NEURAL NETWORK BASED ON MULTIDIMESNIONAL EPANECHNIKOV’S ... Abstract: At present time neural networks based on Group Method of Data Handling (GMDH-NN), nodes of which are two-input N-Adalines, is well-known. Each of N-Adalines contains the set of adjustable sy 
I.2.6 LearningArticle GROWING NEURAL NETWORKS USING NONCONVENTIONAL ACTIVATION FUNCTIONS Abstract: In the paper, an ontogenic artificial neural network (ANNs) is proposed. The network uses orthogonal activation functions that allow significant reducing of computational complexity. Anothe 
I.2.6 LearningArticle HYBRID CASCADE NEURAL NETWORK BASED ON WAVELET-NEURON Abstract: In the paper new hybrid cascade wavelet-neural network and its learning algorithm in batch and on-line mode are proposed. Such architecture can be used for solving prediction and emulation n 

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