Application of chaotic neural model based on olfactory system on pattern recognitions
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Application of novel chaotic neural networks to text classification based on PCA
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Handwriting character classification using Freeman's olfactory KIII model
Artificial Life and Robotics
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A novel chaotic neural network K-set has been constructed based in research on biological olfactory systems. This non-convergent neural network simulates the capacities of biological brains for signal processing in pattern recognition. Its accuracy and efficiency are demonstrated in this report on an application to human face recognition, with comparisons of performance with conventional pattern recognition algorithms.