Application of Novel Chaotic Neural Networks to Text Classification Based on PCA
نویسندگان
چکیده
To model mammalian olfactory neural systems, a chaotic neural network entitled K-set has been constructed. This neural network with nonconvergent “chaotic” dynamics simulates biological pattern recognition. This paper reports the characteristics of the KIII set and applies it to text classification. Compared with conventional pattern recognition algorithms, its accuracy and efficiency are demonstrated in this report on an application to text classification.
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