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Category I.2.6 Learning

Analogies Concept learning Connectionism and neural nets Induction Knowledge acquisition Language acquisition Parameter learning
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Article IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM COMMUNICATION ARCHITECTURES Abstract: Membrane systems are models of computation which are inspired by some basic features of biological membranes. Transition P systems are very simple models. Many hardware and software archite 
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 
Article INTELLIGENT TRADING SYSTEMS Abstract: During last 50 years, the markets have been object of study. Technical and fundamental indicators have been used to try to predict the behavior of the market and then execute buying or sell 
Article MEASURE REFUTATIONS AND METRICS ON STATEMENTS OF EXPERTS ... Abstract. The paper discusses a logical expert statements represented as the formulas with probabilities of the first order language consistent with some theory T. Theoretical-models methods for sett 
Article MODELING OF COGNITIVE PROCESSES BY NETWORK MODELS Abstract: The paper describes the conceptual issues of modeling cognitive processes network models at different levels. Describes possible methods construction of intelligent information processing s 
Article MODELING OF COGNITIVE PROCESSES BY NETWORK MODELS Abstract: The paper describes the conceptual issues of modeling cognitive processes network models at different levels. Describes possible methods construction of intelligent information processing s 
Article MULTIDIMENSIONAL HETEROGENEOUS VARIABLE PREDICTION ... Abstract: In the works [1, 2] we proposed an approach of forming a consensus of experts’ statements for the case of forecasting of qualitative and quantitative variable. In this paper, we present a 
Article NEURAL NETWORK BASED APPROACH FOR DEVELOPING THE ENTERPRISE STRATEGY Abstract: Modern enterprises work in highly dynamic environment. Thus, the developing of company strategy is of crucial importance. It determines the surviving of the enterprise and its evolution. Ad 
Article ON COORDINATION OF EXPERTS’ ESTIMATIONS OF QUANTITATIVE VARIABLE∗ Abstract: In this paper, we consider some problems related to forecasting of quantitative feature. We assume that decision rule is constructed on the base of analysis of empirical information represe 
Article OUTLIERS RESISTANT LEARNING ALGORITHM FOR RADIAL-BASIS-FUZZY-WAVELET-NEURAL ... Abstract: In this paper an outliers resistant learning algorithm for the radial-basis-fuzzy-wavelet-neural network based on R. Welsh criterion is proposed. Suggested learning algorithm under consider 
Article POLYNOMIAL APPROXIMATION USING PARTICLE SWARM OPTIMIZATION OF LINEAR ... Abstract: This paper presents some ideas about a new neural network architecture that can be compared to a Taylor analysis when dealing with patterns. Such architecture is based on lineal activation  
Article Polynomial Regression using a Perceptron with Axo-axonic Connections Abstract: Social behavior is mainly based on swarm colonies, in which each individual shares its knowledge about the environment with other individuals to get optimal solutions. Such co-operative mod 
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 
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 
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 
Article SEMANTIC NET FROM CONCEPTS AS A MODEL OF STUDENT’S KNOWLEDGE: HOW STABLE ARE ... Abstract: Original method to study students’ conceptual knowledge was reported at previous ITHEA conferences. According to this method, to show their educational achievements students had to pass t 
Article SOFTWARE EFFORT ESTIMATION USING RADIAL BASIS FUNCTION NEURAL NETWORKS Abstract: One of the biggest challenges that software developers face is to make an accurate estimate of the project effort. Radial basis function neural networks have been used to software effort es 
Article STUDY THE QUALITY OF GLOBAL NEURAL MODEL WITH REGARD TO LOCAL MODELS OF ... Abstract: In the paper global modeling of complex systems with regard to quality of local models of simple plants is discussed. Complex systems consists of several sub-systems. As a global model mul 
Article SYSTEMOLOGICAL CLASSIFICATION ANALYSIS IN CONCEPTUAL KNOWLEDGE MODELING Abstract: It is difficult to exaggerate the importance, the urgency and complexity of “good” classifications creation, especially in knowledge management, artificial intelligence, decision making 
Article TACIT KNOWLEDGE AS A RESOURCE FOR ORGANIZATIONS AND ITS INTENSITY IN VARIOUS ... Abstract: Tacit knowledge continues to play a challenging role in any type of industry and is no doubt an everlasting resource. So it is important to realize the intensity and impact of tacit knowled 
Article THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS ... Abstract: New non-conventional system of the computational intelligence is proposed. It has growing structure similar to the Cascade-Correlation Learning Architecture designed by S. E. Fahlman and C. 
Article THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS AND ITS LEARNING ... Abstract: New non-conventional system of the computational intelligence is proposed. It has growing structure similar to the Cascade-Correlation Learning Architecture designed by S. E. Fahlman and C. 
Article THE CASCADE NEO-FUZZY ARCHITECTURE AND ITS ONLINE LEARNING ALGORITHM Abstract: in the paper learning algorithm for adjusting weight coefficients of the Cascade Neo-Fuzzy Neural Network (CNFNN) in sequential mode is introduced. Concerned architecture has the similar st 
Article THE CASCADE NEO-FUZZY ARCHITECTURE USING CUBIC–SPKINE ACTIVATION FUNCTIONS Abstract: in the paper new hybrid system of computational intelligence called the Cascade Neo-Fuzzy Neural Network (CNFNN) is introduced. This architecture has the similar structure with the Cascade-C 
Article THE CASCADE ORTHOGONAL NEURAL NETWORK Abstract: in the paper new non-conventional growing neural network is proposed. It coincides with the Cascade- Correlation Learning Architecture structurally, but uses ortho-neurons as basic structur 

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