TY - GEN
T1 - Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization
AU - Huang, Wei
AU - Oh, Sung Kwun
AU - Pedrycz, Witold
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/28
Y1 - 2016/12/28
N2 - In this paper, we propose a novel architecture of polynomial neural network classifier (PNNC) with the aid of data preprocessing technique and space search optimization, which adopts accelerated convergence mechanism instead of purely random search. Two type of polynomials are adopted for constructing discriminate functions in the PNNC to alleviate the limitation of relatively simple geometry using linear discriminate function in the conventional neural network classifiers. Space search optimization is exploited here to realize structure optimizes and parameter optimize in the design of PNNC. Moreover, data preprocessing techniques are used to reduce the dimension of training data. The proposed PNNC is compared with some well-known classifiers based on several benchmark data sets. Experimental results illustrate the effectiveness of PNNCs.
AB - In this paper, we propose a novel architecture of polynomial neural network classifier (PNNC) with the aid of data preprocessing technique and space search optimization, which adopts accelerated convergence mechanism instead of purely random search. Two type of polynomials are adopted for constructing discriminate functions in the PNNC to alleviate the limitation of relatively simple geometry using linear discriminate function in the conventional neural network classifiers. Space search optimization is exploited here to realize structure optimizes and parameter optimize in the design of PNNC. Moreover, data preprocessing techniques are used to reduce the dimension of training data. The proposed PNNC is compared with some well-known classifiers based on several benchmark data sets. Experimental results illustrate the effectiveness of PNNCs.
KW - Polynomial Neural Network Classifiers
KW - data preprocessing
KW - polynomial discriminant function
KW - space search optimization
UR - http://www.scopus.com/inward/record.url?scp=85010375442&partnerID=8YFLogxK
U2 - 10.1109/SCIS-ISIS.2016.0167
DO - 10.1109/SCIS-ISIS.2016.0167
M3 - Conference contribution
AN - SCOPUS:85010375442
T3 - Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
SP - 769
EP - 773
BT - Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
Y2 - 25 August 2016 through 28 August 2016
ER -