The design of self-organizing Polynomial Neural Networks

  title={The design of self-organizing Polynomial Neural Networks},
  author={Sung-Kwun Oh and Witold Pedrycz},
  journal={Inf. Sci.},
In this study, we introduce and investigate a class of neural architectures of Polynomial Neural Networks (PNNs), discuss a comprehensive design methodology and carry out a series of numeric experiments. PNN is a flexible neural architecture whose structure (topology) is developed through learning. In particular, the number of layers of the PNN is not fixed in advance but becomes generated on the fly. In this sense, PNN is a self-organizing network. The essence of the design procedure dwells on… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 47 extracted citations

Estimating Power Consumption of Servers Using Gaussian Mixture Model

2017 Fifth International Symposium on Computing and Networking (CANDAR) • 2017
View 8 Excerpts
Highly Influenced

Evolution of Inductive Self-organizing Networks

Engineering Evolutionary Intelligent Systems • 2008
View 7 Excerpts
Highly Influenced

An Improved Polynomial Neural Network Classifier Using Real-Coded Genetic Algorithm

IEEE Transactions on Systems, Man, and Cybernetics: Systems • 2015
View 2 Excerpts

GMDH polynomial and RBF neural network for oral cancer classification

Network Modeling Analysis in Health Informatics and Bioinformatics • 2015
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 23 references

Polynomial Theory of Complex Systems

IEEE Trans. Systems, Man, and Cybernetics • 1971
View 10 Excerpts
Highly Influenced

Dynamic modeling and reaction invariant control of pH

T. K. Gustafsson, K. V. Waller
Chem. Eng. Sci. 38 • 1983
View 4 Excerpts
Highly Influenced

Dynamics of pH in controlled stirred tank reactor

T. J. McAvoy, E. Hsu, S. Lowenthal
Ind. Eng. Chem. Process Des. Develop. 11 • 1972
View 6 Excerpts
Highly Influenced

A new approach to fuzzy modeling

IEEE Trans. Fuzzy Systems • 1997
View 2 Excerpts

Similar Papers

Loading similar papers…