On distributed representation of output layer for recognizing Japanese Kana characters using neural networks

K. Keeni, H. Shimodaira, K. Nakayama
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引用次数: 1

Abstract

The paper presents an automatic coding scheme for representing the output layer of a neural network. Compared to local representation where the number of output unit is p, the number of output unit required for the proposed representation is close to logp. The output of seven different printers were used for evaluating the performance of the system. The proposed automatic representation gave the average recognition rate of 98.7% for 71 categories.
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基于神经网络的日文假名字符识别输出层分布式表示研究
提出了一种表示神经网络输出层的自动编码方案。与输出单元数为p的本地表示相比,提议的表示所需的输出单元数接近logp。用7台不同打印机的输出来评价系统的性能。提出的自动表示对71个类别的平均识别率为98.7%。
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