形态学异联想神经网络的应用研究

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205) Pub Date : 2001-10-07 DOI:10.1109/ICIP.2001.959063

B. Raducanu, M. Graña

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引用次数: 10

摘要

形态学神经网络(MNN)已被提出作为一种替代的神经计算范式。我们探索了异关联MNN (HMNN)在实际任务中的潜力，例如鲁棒场景识别。场景识别可用于移动机器人基于视觉的导航框架中的自定位。由于其召回过程非常快，因此在实时应用中具有很大的潜力。我们给出了一些实验结果来说明我们的想法。

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On the application of morphological heteroassociative neural networks

Morphological neural networks (MNN) have been proposed as an alternative neural computation paradigm. We explore the potential of heteroassociative MNN (HMNN) for a practical task, such as that of robust scene recognition. Scene recognition could be of use for self-localization in a vision-based navigation framework for mobile robots. HMNN have a big potential for real time application because its recall process is very fast. We present some experimental results that illustrate our ideas.

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Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)

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