## IJCNN 2000: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy, 24-27 July 2000, Volume 1This six-volume set of over 300 papers covers topics related to aspects of computational intelligence, cognitive neuroscience, neural network architectures, hardware implementations, hybrid systems, and applications. All volumes begin with a comprehensive table of contents and end with a comprehensi |

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### Contents

Bias Learning Knowledge Sharing | 9 |

Improved Learning of Multiple Continuous Trajectories with Initial Network State Ill15 | 15 |

Predicting the Generalization Ability of Neural Networks Resembling the NearestNeighbor Algorithm 127 | 27 |

Copyright | |

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active analysis applied approach approximation architecture Artificial Neural Networks attractor back-propagation BFGS bound brain cells classification codebook vector computed conditional information considered convergence corresponding cortex defined denotes equation error error function evaluation example experimental feedback feedback linearization feedforward feedforward neural network Figure global gradient Hessian matrix hidden layer hidden nodes hidden units hyper-parameters identification IEEE input patterns iteration learning algorithm learning rate linear loop matrix minimization modules neural network neurons nonlinear number of hidden obtained OMNN optimization orientation map output overfitting parameterization parameters parietal lobes perceptron performance pinwheel pixel prediction problem proposed quantization random recurrent region representation respectively robust controller sample shown signal simulation sliding mode control space structured uncertainties subset supervised learning target task technique Theorem training algorithm training set trust region update values variables vector quantization visual voxels weight evolution weight-decay