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    CIBCB
    2007
    IEEE
    204views Computational Biology» more  CIBCB 2007»
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    13 years 12 months ago
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    Download  www.jihe.net
    Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
    Ji He, Xinbin Dai, Xuechun Zhao
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    CIBCB
    2009
    IEEE
    172views Computational Biology» more  CIBCB 2009»
    Improved prediction of trans-membrane spans in proteins using an artificial neural network
    13 years 9 months ago
    Improved prediction of trans-membrane spans in proteins using an artificial neural network
    Download  www.meilerlab.org
    Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. Computational structural biology seeks to increase the...
    Julia Koehler, Ralf Mueller, Jens Meiler
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    JCP
    2008
    166views more  JCP 2008»
    Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
    13 years 7 months ago
    Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
    Download  www.academypublisher.com
    Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
    Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Ts...
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    IAJIT
    2010
    230views more  IAJIT 2010»
    An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
    13 years 6 months ago
    An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
    Download  www.ccis2k.org
    : Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
    Mohamad Awad
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    CONNECTION
    2004
    98views more  CONNECTION 2004»
    Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
    13 years 7 months ago
    Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
    Download  web.upmf-grenoble.fr
    While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
    Bernard Ans, Stephane Rousset, Robert M. French, S...
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