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.
CITATION STYLE
Wang, S. (2003). A new development on ANN in China – Biomimetic pattern recognition and multi weight vector Neurons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2639, pp. 35–43). Springer Verlag. https://doi.org/10.1007/3-540-39205-x_5
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