## Advances in Neural Networks Research: IJCNN 2003IJCNN is the flagship conference of the INNS, as well as the IEEE Neural Networks Society. It has arguably been the preeminent conference in the field, even as neural network conferences have proliferated and specialized. As the number of conferences has grown, its strongest competition has migrated away from an emphasis on neural networks. IJCNN has embraced the proliferation of spin-off and related fields (see the topic list, below), while maintaining a core emphasis befitting its name. It has also succeeded in enforcing an emphasis on quality. |

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### Contents

G K Venayagamoorthy D Wang | 520 |

Liu A Srivastava 537 Intrinsic generalization analysis of low dimensional representations | 537 |

Han L Cheng H Meng 547 Application of fourlayer neural network on information extraction | 561 |

H Voicu 569 Hierarchical cognitive maps | 585 |

R A Santiago J McNames 601 Developments in understanding neuronal spike trains and functional | 609 |

P Sussner 625 Associative morphological memories based on variations of the kernel | 625 |

Informatics | 640 |

Furlanello M Serafini | 641 |

Statistical efficiency of adaptive algorithms | 735 |

On structureexploiting trustregion regularized nonlinear least | 745 |

Stochastic resonance in noisy threshold neurons | 755 |

Quantum optimization for training support vector machines | 763 |

On the quality of ART1 text clustering | 771 |

Extension neural network and its applications | 779 |

Fuzzy least squares support vector machines for multiclass problems | 785 |

Evolving efficient learning algorithms for binary mappings | 793 |

A GutierrezGalvez | 649 |

G A Ascoli | 657 |

Abdelbar E A M Andrews | 665 |

B Kosko S Mitaim | 671 |

Simple and conditioned adaptive behavior from Kalman filter trained | 683 |

Reinforcement Learning and Control | 691 |

Autonomous mental development in high dimensional context | 701 |

Chaos control and synchronization with input saturation via recur | 711 |

Proper orthogonal decomposition based optimal neurocontrol synth | 719 |

Numerical solution of elliptic partial differential equation using radial | 729 |

A network for recursive extraction of canonical coordinates | 801 |

Automatic basis selection techniques for RBF networks | 809 |

S A Mulder D C Wunsch II 827 Million city traveling salesman problem solution by divide | 827 |

A Zaknich 833 A practical subspace adaptive filter | 847 |

A Eleuteri R Tagliaferri 855 A novel neural networkbased survival analysis model | 855 |

nonlinear | 865 |

Y N Rao D Erdogmus 873 Stochastic error whitening algorithm for linear filter estimation with | 881 |

A Karras V Zorkadis 899 On neural network techniques in the secure management | 899 |

### Common terms and phrases

2003 Elsevier Science 2003 Special issue activity adaptive algorithm analysis applications approach architecture artificial neural networks average basis functions binary canonical coordinate cells classification computational contours convergence corresponding data set density distribution dynamic Elsevier Science Ltd error estimated evaluated feedforward filter Gaussian gene gradient grip force Grossberg hidden layer histogram IEEE Transactions initial input interpolation iterative kernel KIII linear models linear subspace LMS/Newton matrix memory method modulation Neural Networks 16 neurons nodes noise nonlinear number of clusters object obtained optimal output parameters pattern performance phase place cell problem proposed Purkinje cells radial basis function receptive field recognition recurrent representation represents rights reserved robot sensor shown in Fig shows signal simulation solution spike trains supervised learning support vector machines synapses threshold training data update values variables visual www.ComputerScienceWeb.com www.elsevier.com/locate/neunet 2003 Special