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4 April 2001 Adaptive kernels for morphological heteroassociative neural networks
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Abstract
Morphological Neural Networks (MNN) have been proposed as an alternative neural computation paradigm. In this paper we explore the potential of Heteroassociative MNN (HMNN) for a vision based practical task, that of 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 the proposed approach.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Manuel Grana Romay and Bogdan Raducanu "Adaptive kernels for morphological heteroassociative neural networks", Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); https://doi.org/10.1117/12.420934
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