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    EUSFLAT
    2003
    108views Fuzzy Logic» more  EUSFLAT 2003»
    Soft computing and control of district heating system
    13 years 8 months ago
    Soft computing and control of district heating system
    Download  www.eusflat.org
    The article deals with the possible methodology of processing of data and information for the search of prediction of heat supply daily diagram (HSDD). The methodology includes te...
    Petr Dostál, Bronislav Chramcov, Jaroslav B...
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    ESWA
    2008
    204views more  ESWA 2008»
    A comparison of neural network and multiple regression analysis in modeling capital structure
    13 years 7 months ago
    A comparison of neural network and multiple regression analysis in modeling capital structure
    Download  www.engineering.wright.edu
    Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...
    Hsiao-Tien Pao
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    CIMCA
    2005
    IEEE
    161views Intelligent Agents» more  CIMCA 2005»
    An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
    14 years 1 months ago
    An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
    Download  www.teiser.gr
    An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
    Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
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    INFOCOM
    1993
    IEEE
    140views Communications» more  INFOCOM 1993»
    Stability of a Class of Dynamic Routing Protocols (IGRP)
    13 years 11 months ago
    Stability of a Class of Dynamic Routing Protocols (IGRP)
    Download  netlab.caltech.edu
    We perform an exact analysis of the dynamic behavior of IGRP, an adaptive shortest-path routing algorithm widely used in the industry, on a simple ring network. The distance metri...
    Steven H. Low, Pravin Varaiya
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    JCNS
    2000
    165views more  JCNS 2000»
    A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
    13 years 7 months ago
    A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
    Download  www.math.umn.edu
    We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
    Duane Q. Nykamp, Daniel Tranchina
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