NEURAL NETWORK AND FUZZY SYSTEM

Abstract View PDF Download PDF

##plugins.themes.academic_pro.article.sidebar##

Published Sep 13, 2017
Download
PDF
Statistic

Downloads

Download data is not yet available.
Vol. 2 No. 6 (2017): IEJRD

##plugins.themes.academic_pro.article.main##

Dr. Pawan Whig
Dean Research, VIPS
S. N Ahmad
Professor in JMI

Abstract

The present study provides integrated knowledge on the neural network and fuzzy system. The fundamental concept and component of the system along with its properties. The hybridization of neural network and fuzzy system are proving tremendous impact in solving various problems. Hence the basic aim of the present study is to provide insight on the basic characteristics and hybrization of these two techniques and illustrates the neural nets, neuro-fuzzy process and its schemes.

##plugins.themes.academic_pro.article.details##

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite
[1]
Dr. Pawan Whig and S. N Ahmad, “NEURAL NETWORK AND FUZZY SYSTEM”, IEJRD - International Multidisciplinary Journal, vol. 2, no. 6, p. 8, Sep. 2017.

References

  1. Alonso, J. M., Castiello, C., &Mencar, C. (2015). Interpretability of fuzzy systems: Current research trends and prospects. In Springer handbook of computational intelligence (pp. 219-237). Springer, Berlin, Heidelberg.
  2. Pawan Whig and S. N. Ahmad (2014), Development of Economical ASIC For PCS For Water Quality Monitoring ,Journal of Circuit System and Computers, Vol. 23, No. 6 , pp: 1-13
  3. Wu, S., &Er, M.J. (2000). Dynamic fuzzy neural networks-a novel approach to function approximation. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 30 2, 358-64 .
  4. Rong, H., Ye, X., & Xiang, X. (2015). A Self Adaptive Incremental Learning Fuzzy Neural Network Based on the Influence of a Fuzzy Rule. 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 354-359.
  5. Zhang, D., Han, Q. L., &Jia, X. (2015). Network-based output tracking control for T–S fuzzy systems using an event-triggered communication scheme. Fuzzy sets and systems, 273, 26-48.
  6. Lin, C., & Lu, Y. (1996). A neural fuzzy system with fuzzy supervised learning. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society, 26 5, 744-63 .
  7. Rahul Reddy Nadikattu. 2016 THE EMERGING ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN SOCIETY. International Journal of Creative Research Thoughts. 4, 4 ,906-911.
  8. Leng, G., Prasad, G., &Mcginnity, T.M. (2004). An on-line algorithm for creating self-organizing fuzzy neural networks. Neural networks : the official journal of the International Neural Network Society, 17 10, 1477-93 .
  9. Saneifard, R. (2011). Some properties of neural networks in designing fuzzy systems. Neural Computing and Applications, 21, 215-220.
  10. Liu, F. (2010). Design for self-organizing fuzzy neural networks based on adaptive evolutionary programming. 2010 2nd International Conference on Advanced Computer Control, 3, 251-254.
  11. Leng, G., Mcginnity, T.M., & Prasad, G. (2006). Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms. IEEE Transactions on Fuzzy Systems, 14, 755-766.
  12. Qiao, J., & Wang, H. (2008). A self-organizing fuzzy neural network and its applications to function approximation and forecast modeling. Neurocomputing, 71, 564-569.
  13. Dahal, K.P., Almejalli, K., Hossain, M.A., & Chen, W. (2015). GA-based learning for rule identification in fuzzy neural networks. Appl. Soft Comput., 35, 605-617.
  14. Liu, F., &Er, M.J. (2012). A Novel Efficient Learning Algorithm for Self-Generating Fuzzy Neural Network with Applications. International journal of neural systems, 22 1, 21-35 .
  15. Pawan Whig and S. N. Ahmad,(2014)“Simulation of Linear Dynamic Macro Model of Photo Catalytic Sensor in SPICE” Compel, the international journal of computation and mathematics in electrical and electronic engineering, Vol. 33 No. 1/2.
  16. Xiao-hui, Z., & Yi-bing, S. (2014). Optimization and Implementation of Self-Organization Fuzzy Neutral Network Control Algorithm. The Open Automation and Control Systems Journal, 6.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.