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Structures of a Pattern Recognition Computer Based on the Model Self-Organization Principle and Possessing a Property of Generalization

机译:基于模型自组织原理并具有泛化性质的模式识别计算机的结构

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摘要

Three degrees of taking into account the bias of a model by dividing a sample of observations are specified. Two structures of a pattern computer are given in the case if the aim is to achieve not only the accuracy but the property of generalization of the model to neighboring data samples. The property of generalization is important, for example, in recognition of the letters of a hand-written text or words of live speech of an announcer who has not undergone special training.
机译:指定了通过划分观察样本来考虑模型偏差的三个程度。如果目的不仅是要获得准确性,而且要达到将模型推广到相邻数据样本的特性,则给出模式计算机的两种结构。泛化的属性很重要,例如,在识别手写文字的字母或未经过特殊培训的播音员的现场讲话时,这一点很重要。

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