By Topic

2009 International Joint Conference on Neural Networks

14-19 June 2009

Filter Results

Displaying Results 1 - 25 of 540
  • [Front and back covers]

    Publication Year: 2009, Page(s):c1 - c3
    Request permission for commercial reuse | PDF file iconPDF (4703 KB)
    Freely Available from IEEE
  • Final Program

    Publication Year: 2009, Page(s): i
    Request permission for commercial reuse | PDF file iconPDF (39 KB)
    Freely Available from IEEE
  • IJCNN 2009 conference proceedings

    Publication Year: 2009, Page(s): ii
    Request permission for commercial reuse | PDF file iconPDF (20 KB)
    Freely Available from IEEE
  • Welcome from the general chair

    Publication Year: 2009, Page(s):iii - iv
    Request permission for commercial reuse | PDF file iconPDF (78 KB)
    Freely Available from IEEE
  • Organizing Committee

    Publication Year: 2009, Page(s): v
    Request permission for commercial reuse | PDF file iconPDF (21 KB)
    Freely Available from IEEE
  • Program Committee

    Publication Year: 2009, Page(s): vi
    Request permission for commercial reuse | PDF file iconPDF (20 KB)
    Freely Available from IEEE
  • IJCNN 2009 reviewers

    Publication Year: 2009, Page(s):vii - x
    Request permission for commercial reuse | PDF file iconPDF (30 KB)
    Freely Available from IEEE
  • Conference topics

    Publication Year: 2009, Page(s): xi
    Request permission for commercial reuse | PDF file iconPDF (21 KB)
    Freely Available from IEEE
  • 2009 International Neural Network Society Officers

    Publication Year: 2009, Page(s): xii
    Request permission for commercial reuse | PDF file iconPDF (20 KB)
    Freely Available from IEEE
  • Welcoming message from the president of INNS

    Publication Year: 2009, Page(s): xiii
    Request permission for commercial reuse | PDF file iconPDF (119 KB)
    Freely Available from IEEE
  • 2009 IEEE CIS Officers (Executive & Adcom Committees)

    Publication Year: 2009, Page(s): xiv
    Request permission for commercial reuse | PDF file iconPDF (20 KB)
    Freely Available from IEEE
  • Welcome from the IEEE computational intelligence society president

    Publication Year: 2009, Page(s): xv
    Request permission for commercial reuse | PDF file iconPDF (89 KB)
    Freely Available from IEEE
  • Sponsors

    Publication Year: 2009, Page(s): xvi
    Request permission for commercial reuse | PDF file iconPDF (882 KB)
    Freely Available from IEEE
  • Conference information

    Publication Year: 2009, Page(s): xvii
    Request permission for commercial reuse | PDF file iconPDF (23 KB)
    Freely Available from IEEE
  • Exhibits

    Publication Year: 2009, Page(s):xviii - xx
    Request permission for commercial reuse | PDF file iconPDF (471 KB)
    Freely Available from IEEE
  • IJCNN 2009 schedule-at-a-glance

    Publication Year: 2009, Page(s):xxi - xxix
    Request permission for commercial reuse | PDF file iconPDF (26039 KB)
    Freely Available from IEEE
  • Grids

    Publication Year: 2009, Page(s):xxx - xxxvi
    Request permission for commercial reuse | PDF file iconPDF (2320 KB)
    Freely Available from IEEE
  • Program

    Publication Year: 2009, Page(s):xxxvii - lxvii
    Request permission for commercial reuse | PDF file iconPDF (254 KB)
    Freely Available from IEEE
  • Conference papers

    Publication Year: 2009, Page(s):lxviii - xcvii
    Request permission for commercial reuse | PDF file iconPDF (107 KB)
    Freely Available from IEEE
  • Author index

    Publication Year: 2009, Page(s):xcviii - cix
    Request permission for commercial reuse | PDF file iconPDF (60 KB)
    Freely Available from IEEE
  • Neuron mechanism of human languages

    Publication Year: 2009, Page(s):375 - 382
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1610 KB) | HTML iconHTML

    Human brain is exceptionally complex and simple at the same time. Its extremely composite biological structure results in human everyday behavior. Many people might consider this behavior rather simple than complex. In our research we will concentrate on the ways with which the human brain can process English and other human languages because taken in general sense, the ability to speak English or... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Neural fields for complex behavior generation on autonomous robots

    Publication Year: 2009, Page(s):2388 - 2393
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1482 KB) | HTML iconHTML

    In this paper we investigate how neural fields can generate complex behavior in mobile robot navigation. A case study is presented in which a mobile robot endowed with sonars and a laser scanner performs the behaviors target-acquisition, obstacle-avoidance, and subtarget-selection. The design of these behaviors as well as their coordination are achieved through correct choice ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Self-organized spiking neural network recognizing phase/frequency correlations

    Publication Year: 2009, Page(s):1633 - 1639
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1076 KB) | HTML iconHTML

    Training a spiking neural network usually implies formation of groups of cooperating neurons capable of recognizing various spatiotemporal structures in input signal. One of the most important structural features of signal is presence of episodes when frequency of pulses arriving from certain sets of inputs (receptors) or single pulse timing become correlated or partially synchronized. Recognition... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A novel pruning algorithm for self-organizing neural network

    Publication Year: 2009, Page(s):1245 - 1250
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1184 KB) | HTML iconHTML

    In this paper, a novel pruning algorithm is proposed for self-organizing the feed-forward neural network based on the sensitivity analysis, named novel pruning feed-forward neural network (NP-FNN). In this study, the number of hidden neurons is determined by the output's sensitivity to the hidden nodes. This technique determines the relevance of the hidden nodes by analyzing the Fourier decomposit... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • DensityRank: A novel feature ranking method based on kernel estimation

    Publication Year: 2009, Page(s):446 - 453
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1581 KB) | HTML iconHTML

    This paper proposes a novel feature ranking method, DensityRank, based on kernel estimation on the feature spaces to improve the classification performance. As the availability of raw data in many of today's applications continues to grow at an explosive rate, it is critical to assess the learning capabilities of different features and select the important subset of features to improve learning ac... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.