1995 IEEE International Conference on Neural Networks: Proceedings, the University of Western Australia, Perth, Western Australia, 27 November-1 December 1995, Volume 1 |
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Contents
SUPERVISED AND UNSUPERVISED LEARNING | xlvii |
LOW LEVEL VISUAL MOTION PROCESSING USING LOCAL MOTION DETECTORS | 1 |
NEURAL NETWORKS COMPETENCE AND PERFORMANCE | 7 |
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adaptive analog analysis applications approach approximation architecture artificial neural networks Australia backpropagation baking chip circuit classification cluster color complexity Computer computer vision control system convergence correlation cross-validation data fusion data set defined dynamic encoding equation error error function estimate feature feedforward Figure function fuzzy hidden layer hidden nodes hidden units IEEE IEEE Trans implementation input vector iterations Japan learning algorithm learning rate linear matrix method minimization minimum spanning tree neural net neuro-fuzzy neurons nonlinear principal components number of hidden number of training object obtained operation optimal orthogonal output layer paper parameters particle pattern recognition performance pixels Principal Component Analysis problem Proc robot shown shows sigmoid sigmoid function signal simulation statistical structure supervised learning Table techniques Technology texture threshold tion topology tracking training algorithm training set University variables visual VLSI weight vector