Based on the theory of statistics, this dissertation investigates neural network classifiers realized with software simulation in the computer. After a brief summary of the existing studies of the neural networks as classifiers and the problems that are still waiting to be solved, the dissertation begins to focus on the study of the cover algorithms in the constructive learning methods with the aim to shorten the learning time, simplify the network structure and improve the classification precision. The dis...
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