## Applications and Science of Artificial Neural Networks, Volume 3Volumes consist of the proceedings of the International Conference on Applications and Science of Artificial Neural Networks. |

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### Contents

Optimal source coding removable noise elimination and natural coordinate system | 11 |

Decompositional hierarchical selforganizing networks applied to time series forecasting | 27 |

Speech recognition by humans and machines under conditions with severe channel variability | 46 |

Copyright | |

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### Common terms and phrases

accuracy activation adaptive algorithm analysis applications approach approximation architecture Artificial Neural Networks backpropagation basic Boltzmann Machine cell classification cluster coding coefficients components convergence corresponding data set defined detection DHSON dimension dimensionality dynamics eigenvectors embedding equations error estimate evaluated example factor feature extraction feature space filtering frequency Gaussian Haar wavelet hidden layer HLNs Hopfield IEEE implementation initial input patterns input vector iterations K-means algorithm learning linear mapping matrix measure method missing feature multilayer perceptron neurons nodes noise nonlinear obtained optimal output layer parameter set pattern recognition performance phase pixel points prediction problem Proc processor pulse Radial Basis Function receptive fields represents samples segmentation selected self-organizing sensor shows signal simulation solution speech SPIE Vol structure supervised learning target techniques temperature template total number training data training set update values variable wavelet transform weights ZISC