## Proceedings of the ... International Conference on Neural Networks, Volume 1; Volume 3; Volumes 5-7 |

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### Contents

ON THE RELATIVE TIME COMPLEXITIES OF STANDARD AND CONJUGATE GRADIENT | viii |

DYNAMIC ADAPTION OF THE ERROR SURFACE FOR THE ACCELERATION OF THE TRAINING | xi |

STRUCTURE OF LEARNING IN THE COMPLEX NUMBERED BACKPROPAGATION NETWORK 269 | xiii |

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adaptive algorithm analysis application approach ARTIFICIAL NEURAL NETWORKS average backpropagation classifier clustering color components Computer constraints CONTROL convergence defined detection dynamic energy function Engineering equation error estimate example extracted feature map Figure filter frequency FUZZY Gabor Gabor filters Gaussian global graph hidden layer Hopfield network IEEE IEEE Trans implementation initial input layer input pattern invariant iteration JAPAN learning linear masks matrix method multilayer multilayer perceptrons neural network model neuron nodule noise nonlinear object obtained optimization problems order neural network output layer parameters pattern recognition performance phoneme pixel Proc proposed quantization random RECURRENT RECURRENT NEURAL NETWORKS region represent representation Research rotation segmentation shown shows signal simulated annealing simulation solution solve space speech recognition structure target Technology texture threshold tion training data training set transform Traveling Salesman Problem University unsupervised learning values variables vector weights