Abstract
A new model of pattern recognition principles—Biomimetic Pattern Recognition, which is based on “matter cognition” instead of “matter Classification”, has been proposed. As a important means realizing Biomimetic Pattern Recognition, the mathematical model and analyzing method of ANN get breakthrough: a novel all-purpose mathematical model has been advanced, which can simulate all kinds of neuron architecture, including RBF and BP models. As the same time this model has been realized using hardware; the high-dimension space geometry method, a new means to analyzing ANN, has been researched.
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Wang, S. (2003). A New Development on ANN in China — Biomimetic Pattern Recognition and Multi Weight Vector Neurons. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_5
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DOI: https://doi.org/10.1007/3-540-39205-X_5
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