|
|||||
|
|
A chaotic neural network mimicking an olfactory system and its application on image recognition |
|
| Authors: | WANG Le LI Guang LI Xu GUO Hong-ji Walter J. Freeman |
| Affiliation: | WANG Le 1,LI Guang 1,LI Xu 1,GUO Hong-ji 2,Walter J. Freeman 3 1. Department of Bioengineering,Zhejiang University,Hangzhou 310027,P. R. China 2. Department of Physics,Zhejiang University,Hangzhou 310027,P. R. China 3. Department of Molecular & Cell Biology,UCB,LSA 142,Berkeley,CA,94720-3200,USA |
| Abstract: | Based on the research of a biological olfactory system, a novel chaotic neural network model - K set model has been es- tablished. This chaotic neural network not only simulates the real brain activity of an olfactory system, but also presents a novel chaotic concept for signal processing and pattern recognition. The characteristics of the K set models are investigated and show that a KIII model can be used for image pattern classification. |
| Keywords: | olfactory system pattern recognition neural networks image classification |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |