FDO神经网络模型及其在图像识别中的应用

[Proceedings] Singapore ICCS/ISITA `92 Pub Date : 1992-11-16 DOI:10.1109/ICCS.1992.255028

Dingang Sheng, F. Qi

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引用次数: 0

摘要

提出了一种全域最优神经网络。首先设计稳定点，然后设计吸引盆的方法提高了图像识别的速度和准确性。本文证明了映射的收敛性和不变性的质量和速度。几个涉及训练和识别目标的计算机仿真示例说明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An FDO neural network model and its application to image recognition

A full domain optimum neural network is proposed. A method of devising stable points firstly and basins of attraction latterly increases speed and correctness of image recognition. This paper proves the quality and speed of convergence and invariance of mapping. Several computer simulation examples involving trained and recognized targets illustrate the usefulness of the method.<>

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[Proceedings] Singapore ICCS/ISITA `92

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