A biologically inspired model for pattern recognition  

作　　者：Eduardo GONZALEZ Hans LILJENSTROM Yusely RUIZ Guang LI 

机构地区：[1]Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China [2]Department of Energy and Technology, Swedish University of Agricultural Sciences, Box 7013, SE-750, Sweden [3]National Laboratory of industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China

出　　处：《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》2010年第2期115-126,共12页浙江大学学报（英文版）B辑（生物医学与生物技术）

基　　金：Project supported by the National Natural Science Foundation of China (Nos. 60874098 and 60911130129);the High-Tech Research and Development Program (863) of China (No. 2007AA042103);the National Creative Research Groups Science Foundation of China (No. 60721062);the Project of Introducing Talents for Chinese University Disciplinal Innovation (111 Project, No. B07031)

摘　　要：In this paper, a novel bionic model and its performance in pattern recognition are presented and discussed. The model is constructed from a bulb model and a three-layered cortical model, mimicking the main features of the olfactory system. The olfactory bulb and cortex models are connected by feedforward and feedback fibers with distributed delays. The Breast Cancer Wisconsin dataset consisting of data from 683 patients divided into benign and malignant classes is used to demonstrate the capacity of the model to learn and recognize patterns, even when these are deformed versions of the originally learned patterns. The performance of the novel model was compared with three artificial neural networks (ANNs), a back-propagation network, a support vector machine classifier, and a radial basis function classifier. All the ANNs and the olfactory bionic model were tested in a benchmark study of a standard dataset. Experimental results show that the bionic olfactory system model can learn and classify patterns based on a small training set and a few learning trials to reflect biological intelligence to some extent.In this paper, a novel bionic model and its performance in pattern recognition are presented and discussed The model is constructed from a bulb model and a three-layered cortical model, mimicking the main features of the olfactory system. The olfactory bulb and cortex models are connected by feedforward and feedback fibers with distributed delays. The Breast Cancer Wisconsin dataset consisting of data from 683 patients divided into benign and malignant classes is used to demonstrate the capacity of the model to learn and recognize patterns, even when these are deformed versions of the originally learned patterns. The performance of the novel model was compared with three artificial neural networks （ANNs）, a back-propagation network, a support vector machine classifier, and a radial basis function classifier. All the ANNs and the olfactory bionic model were tested in a benchmark study of a standard dataset. Experimental results show that the bionic olfactory system model can learn and classify patterns based on a small training set and a few learning trials to reflect biological intelligence to some extent.

关 键 词：Olfactory system Neural network Bionic model Pattern recognition 

分 类 号：Q811[生物学—生物工程]