Neural recognition in a pyramidal structure
نویسندگان
چکیده
In recent years, there have been several proposals for the realization of models inspired to biological solutions for pattern recognition. In this work we propose a new approach, based on a hierarchical modular structure, to realize a system capable to learn by examples and recognize objects in digital images. The adopted techniques are based on multiresolution image analysis and neural networks. Performance on two different data sets and experimental timings on a single instruction multiple data (SIMD) machine are also reported.
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عنوان ژورنال:
- IEEE transactions on neural networks
دوره 13 2 شماره
صفحات -
تاریخ انتشار 2002