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    KI
    2007
    Springer
    124views Artificial Intelligence» more  KI 2007»
    A General Framework for Encoding and Evolving Neural Networks
    15 years 3 months ago
    A General Framework for Encoding and Evolving Neural Networks
    Download  www.informatik.uni-bremen.de
    Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
    Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
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    TCAD
    2010
    150views more  TCAD 2010»
    Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
    14 years 4 months ago
    Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
    Download  chips.ece.iisc.ernet.in
    Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
    Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
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    AVSS
    2006
    IEEE
    173views Signal Processing» more  AVSS 2006»
    Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework
    15 years 3 months ago
    Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework
    Download  www.merl.com
    We present a license plate detection algorithm that employs ABC This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in who...
    Fatih Porikli, Tekin Kocak
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    DFMA
    2005
    IEEE
    117views Multimedia» more  DFMA 2005»
    A Framework for Grid-based Neural Networks
    14 years 11 months ago
    A Framework for Grid-based Neural Networks
    Download  cs.nju.edu.cn
    Tan Ker Vin, Michael Pang Zhe Seng, Ng Pek Kuan, F...
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    IJON
    2008
    63views more  IJON 2008»
    A theoretical framework for multiple neural network systems
    14 years 9 months ago
    A theoretical framework for multiple neural network systems
    Download  www.cs.surrey.ac.uk
    Mike W. Shields, Matthew C. Casey
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