An improved BP algorithm for pattern recognition

机译：一种改进的BP模式识别算法

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摘要

An improved backpropagation (BP) algorithm for pattern recognition is proposed in this paper. Using a function substitution for an error measure, it resolves the inconsistency of the BP algorithm for pattern recognition problems, i.e. the quadratic error is not sensitive to whether the training pattern is recognized correctly or not. Trained by this new method, the computer simulation result shows that the convergence speed is trebled and the performance of the network is better than the conventional BP algorithm with momentum and adaptive step size.

机译：提出了一种改进的BP算法用于模式识别。使用函数替代错误度量，它可以解决模式识别问题的BP算法不一致问题，即二次错误对训练模式是否正确识别不敏感。通过这种新方法的训练，计算机仿真结果表明，其收敛速度提高了三倍，并且网络的性能优于传统的具有动量和自适应步长的BP算法。

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《》|1998年|P.1327-1330|共4页
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Zeng Yujuan; Wang Xiangdong;
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中图分类无线电电子学、电信技术;
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An improved BP algorithm for pattern recognition

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