Abstract

AbstractA cognitive model in Biomimetic Pattern is proposed to deal with the issue of pattern recognition. Its mathematical basis is placed on topological analysis of sample set in high dimensional feature space. The fundamental idea of this model is based on the fact of the continuity in the feature space of any one of the certain kinds of samples. The cognitive model and its neural network conformation algorithm are given in this chapter. The algorithm is applied to face database and speech database and its effectiveness is proved by the experiments.KeywordsBiomimetic informaticsHigh dimensional spaceNeural networksPattern recognition

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call