IEEE ... International Conference on Neural Networks, Volume 1; Volumes 3-7SOS Printing, 1994 - Artificial intelligence |
Contents
DYNAMIC ADAPTION OF THE ERROR SURFACE FOR THE ACCELERATION OF THE TRAINING | 4127 |
STRUCTURE OF LEARNING IN THE COMPLEX NUMBERED BACKPROPAGATION NETWORK 269 | 4129 |
A FAST AND ROBUST PATTERN RECOGNITION USING A NEW ALGORITHM FOR TRAINING | 4135 |
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ADAPTIVE algorithm analysis APPLICATION approach ARTIFICIAL NEURAL NETWORKS back-propagation character classifier clustering color components Computer CONTROL correlation corresponding Department of Electrical detection diffusion discrimination DYNAMIC Engineering equation error estimate feature extraction feature vector FEEDFORWARD Figure filter frames frequency function FUZZY Gabor Gabor filters Gaussian hidden layer Hong Kong illusory contours image processing implementation input layer input pattern Institute JAPAN KOREA linear masks matrix method multi-layer neural network model neurons nodule noise NONLINEAR object obtained optical flow optimal order neural network output layer parameters pattern recognition perceptron performance phoneme pixel points prediction problem Proc quantization recognition rate recognition system recognize RECURRENT RECURRENT NEURAL NETWORKS region representation Research samples scale scale-space segmentation shown shows space spatial speaker speech recognition structure SUPERVISED LEARNING target Technology texture threshold tion training data training set University University of Tokushima values weights window