| I.2.6 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | 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.2.6 Learning | Article |
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 Learning | 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.2.6 Learning | 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.2.6 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 Learning | Article |
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 |
Wiki
