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2003 | OriginalPaper | Buchkapitel

A New Development on ANN in China — Biomimetic Pattern Recognition and Multi Weight Vector Neurons

verfasst von : Shoujue Wang

Erschienen in: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Verlag: Springer Berlin Heidelberg

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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.

Metadaten
Titel
A New Development on ANN in China — Biomimetic Pattern Recognition and Multi Weight Vector Neurons
verfasst von
Shoujue Wang
Copyright-Jahr
2003
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-39205-X_5

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