Adaptive Resonance Theory
EEG classification using Adaptive Resonance Theory
... In the recent times, increasingly more number of research activities is being conducted about the different methods that humans can communicate with computers. Despite the competence of various users, the normal model of ...
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Emotions States Recognition Based on Physiological Parameters by Employing of Fuzzy Adaptive Resonance Theory
... This paper is an investigation on negative emotions states recognition by employing of Fuzzy Adaptive Resonance Theory (Fuzzy-ART) considering the changes in activities of autonomic nervous system ...
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Fingerprint Recognition Using Markov Chain and Kernel Smoothing Technique with Generalized Regression Neural Network and Adaptive Resonance Theory with Mapping
... smoothing technique, Markov chain, and angular behavior of Ridges and Valleys are used to extract fingerprints features. Generalized regression neural network (GRNN) and Adaptive Resonance Theory ...
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Classification of result analysis for recognition image using preceptron model & text using adaptive resonance theory 1 algorithmic approaches
... his paper works focuses of an application that performs handwritten English character recognition in hand and an image visible by the human eye. The objective of this type of character recognition is make the use of ...
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Incremental clustering of sonar images using self-organizing maps combined with fuzzy adaptive resonance theory
... In this paper we introduce a new unsupervised segmentation algorithm for textured sonar images. A Dynamic Self-Organizing Maps (DSOM) algorithm capable of incremental learning has been developed to automatically cluster ...
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Crack Fault Detection for a Gearbox Using Discrete Wavelet Transform and an Adaptive Resonance Theory Neural Network
... an adaptive resonance theory neural network can clearly recognize the changing trend from the normal state to a crack fault via crack fault detection with an appropriate threshold ...
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Offline Verification of Hand Written Signature using Adaptive Resonance Theory Net (Type-1)
... as Adaptive Linear Net (ADALINE), multiple ADALINE (MADALINE), Perceptrons, Hopfield net and so forth (uses supervised learning methods), and Kohonen’s Self Organizing Map, Adaptive Resonance ...
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Study on Clustering Large Data Using Fuzzy Adaptive Resonance Theory
... Abstract — clustering is an approach that is used to form group of similar classes. Here to cluster the mixed type of data the unsupervised feature learning was used to achieve the sparse representation (SR) which makes ...
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Adaptive Resonance Theory Based Two Stage Chinese Name Disambiguation
... It’s common that different individuals share the same name, which makes it time-consuming to search information of a particular individual on the web. Name disambiguation study is necessary to help users find the person ...
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Survey of Adaptive Resonance Theory Techniques in IDS
... Fuzzy Adaptive resonance Theory neural network and rule ...Fuzzy Adaptive Resonance theory neural network for clustering(security ...
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Customer Relationship Management using Adaptive Resonance Theory
... Adaptive Resonance Theory (ART) is the best approach to deal with the large volume of data of the customers and to provide the customer classification in ...
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Combination of Adaptive Resonance Theory 2 and RFM Model for Customer Segmentation in Retail Company
... RFM theory with K-means and Rough Set Theory to segment customers in an electronics company [5], combining RFM model with FCM and Fuzzy Subtractive algorithm in retail company [6] and also combining the use ...
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Spin-orbit coupling and electron spin resonance theory for carbon nanotubes
... only nearest-neighbor terms in Eq. (3). We mention in passing that Eq. (3) has previously been found from ~k · p ~ theory by Ando [12]. However, his approach makes rather special model assumptions and is ...
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Block-structured Adaptive Mesh Refinement - Theory, Implementation and Application
... Structured adaptive mesh refinement (SAMR) techniques can enable cutting-edge sim- ulations of problems governed by conservation ...dynamically adaptive code are ...
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Theory of stochastic resonance for small signals in weakly damped bistable oscillators
... In the last three decades a plethora of works has been devoted to studies of stochastic resonance (SR). The no- tion of SR was first introduced [1–3] in an attempt to understand the Earth’s ice-age cycle. By this ...
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Theory of Electron Spin Resonance in Ferromagnetically Correlated Heavy Fermion Compounds
... four resonance lines, however only one was observed in the usual range of microwaves. The AFQ long-range order and the coherence of the electron states due to the hybridization are necessary to quench the ...
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A Novel Second Order Bistable Adaptive Random Resonance Noise Reduction Method
... of rotation frequency because of the existence of strong noise. Therefore, it needs to use the adaptive stochastic resonance noise reduction method proposed in this chapter to process the signal. The ...
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Adaptive filtering using Lyapunov theory and artificial intelligent techniques
... Further investigations presented in this thesis include the theory and design of RBF neural network-based nonlinear adaptive filters with Lyapunov stability, fuzzy adaptive filters with [r] ...
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Adaptive Intelligent Tutoring System for Learning Computer Theory
... The basic theory of learning styles is that different people learn in a different ways. One way to see the learning styles is to connect them with the learning cycle advocated by Kolb, where learning is seen as a ...
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THEORY OF FITNESS IN A HETEROGENEOUS ENVIRONMENT. VI. THE ADAPTIVE SIGNIFICANCE OF MUTATION
... I n a symmetric quadratic deviation model, the advantage of mutation is the reduction of variance of gene frequency and a n increase in the correlation be- tween[r] ...
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