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    TKDE
    2008
    114views more  TKDE 2008»
    Neural-Based Learning Classifier Systems
    13 years 11 months ago
    Neural-Based Learning Classifier Systems
    Download  www.cs.bham.ac.uk
    UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a univariate classificati...
    Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Xin...
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    IJCSA
    2007
    213views more  IJCSA 2007»
    Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks
    13 years 11 months ago
    Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks
    Download  www.tmrfindia.org
    This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that i...
    Yang Shi, Weiqi Qian, Weisheng Yan, Jun Li
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    IJCINI
    2007
    125views more  IJCINI 2007»
    A Unified Approach To Fractal Dimensions
    13 years 11 months ago
    A Unified Approach To Fractal Dimensions
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    The Cognitive Processes of Abstraction and Formal Inferences J. A. Anderson: A Brain-Like Computer for Cognitive Software Applications: the Resatz Brain Project L. Flax: Cognitive ...
    Witold Kinsner
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    PRL
    2006
    103views more  PRL 2006»
    Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms
    13 years 11 months ago
    Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms
    Download  froese.files.wordpress.com
    This work compares and contrasts results of classifying time-domain ECG signals with pathological conditions taken from the MIT
    Tom Froese, Sillas Hadjiloucas, Roberto Kawakami H...
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    NPL
    2006
    137views more  NPL 2006»
    Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
    13 years 11 months ago
    Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
    Download  nccuir.lib.nccu.edu.tw
    The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
    Chih-Ming Chen, Yung-Feng Lu, Chin-Ming Hong
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    NPL
    2006
    85views more  NPL 2006»
    A Neural Model for Context-dependent Sequence Learning
    13 years 11 months ago
    A Neural Model for Context-dependent Sequence Learning
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    A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
    Luc Berthouze, Adriaan G. Tijsseling
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    NN
    2006
    Springer
    79views Neural Networks» more  NN 2006»
    Rapid decision threshold modulation by reward rate in a neural network
    13 years 11 months ago
    Rapid decision threshold modulation by reward rate in a neural network
    Download  www.princeton.edu
    Optimal performance in two-alternative, free response decision making tasks can be achieved by the drift-diffusion model of decision making - which can be implemented in a neural ...
    Patrick Simen, Jonathan D. Cohen, Philip Holmes
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    NCA
    2006
    IEEE
    83views Computer Networks» more  NCA 2006»
    Neural network modelling of word production in Finnish: coding semantic and non-semantic features
    13 years 11 months ago
    Neural network modelling of word production in Finnish: coding semantic and non-semantic features
    Download  www.uta.fi
    : The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
    Antti Järvelin, Martti Juhola, Matti Laine
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    ESWA
    2007
    100views more  ESWA 2007»
    Treatment of multi-dimensional data to enhance neural network estimators in regression problems
    13 years 11 months ago
    Treatment of multi-dimensional data to enhance neural network estimators in regression problems
    Download  host.nigde.edu.tr
    This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
    H. Altun, A. Bilgil, B. C. Fidan
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    ESWA
    2007
    135views more  ESWA 2007»
    Decoupled control using neural network-based sliding-mode controller for nonlinear systems
    13 years 11 months ago
    Decoupled control using neural network-based sliding-mode controller for nonlinear systems
    Download  www.taai.org.tw
    In this paper, adaptive neural network sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic ...
    Lon-Chen Hung, Hung-Yuan Chung
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