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Some aspects of designing perceptron network to predict bladder-cancer patient-survival

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Recently, one observes a growing interest in applying artifi- cial neuron networks (ANN's) to analyze biomedical signals such as EKG, EMG, EEG [1-7]. ANN's are nonlinear systems for information processing that try to imitate the way in which biological neural networks operate. They can learn themselves, basing on properly arranged training patterns, and generalize as well as util[...]

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