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    IJIT
    2004
    248views Artificial Intelligence» more  IJIT 2004»
    Improving the Convergence of the Backpropagation Algorithm Using Local Adaptive Techniques
    14 years 11 months ago
    Improving the Convergence of the Backpropagation Algorithm Using Local Adaptive Techniques
    Download  www.waset.org
    Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
    Z. Zainuddin, N. Mahat, Y. Abu Hassan
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    FLAIRS
    1998
    142views Artificial Intelligence» more  FLAIRS 1998»
    Aflatoxin Prediction Using a GA Trained Neural Network
    14 years 11 months ago
    Aflatoxin Prediction Using a GA Trained Neural Network
    Download  www.aaai.org
    Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
    C. E. Henderson, Walter D. Potter, Ronald W. McCle...
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    GECCO
    2008
    Springer
    179views Optimization» more  GECCO 2008»
    Developing neural structure of two agents that play checkers using cartesian genetic programming
    14 years 11 months ago
    Developing neural structure of two agents that play checkers using cartesian genetic programming
    Download  www.cs.bham.ac.uk
    A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
    Gul Muhammad Khan, Julian Francis Miller, David M....
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    ESANN
    2008
    100views Neural Networks» more  ESANN 2008»
    Initialization mechanism in Kohonen neural network implemented in CMOS technology
    14 years 11 months ago
    Initialization mechanism in Kohonen neural network implemented in CMOS technology
    Download  www.dice.ucl.ac.be
    An initialization mechanism is presented for Kohonen neural network implemented in CMOS technology. Proper selection of initial values of neurons' weights has a large influenc...
    Tomasz Talaska, Rafal Dlugosz
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    AROBOTS
    2002
    115views more  AROBOTS 2002»
    Statistical Learning for Humanoid Robots
    14 years 9 months ago
    Statistical Learning for Humanoid Robots
    Download  www-clmc.usc.edu
    The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
    Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
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