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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.7 No.4
- 발행연도
- 2012.7
- 수록면
- 636 - 645 (10page)
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초록· 키워드
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This study introduces an information granular-based fuzzy radial basis function neural networks (FRBFNN) based on multiobjective optimization and weighted least square (WLS). An improved multiobjective space search algorithm (IMSSA) is proposed to optimize the FRBFNN. In the design of FRBFNN, the premise part of the rules is constructed with the aid of Fuzzy C-Means (FCM) clustering while the consequent part of the fuzzy rules is developed by using four types of polynomials, namely constant, linear, quadratic, and modified quadratic. Information granulation realized with C-Means clustering helps determine the initial values of the apex parameters of the membership function of the fuzzy neural network. To enhance the flexibility of neural network, we use the WLS learning to estimate the coefficients of the polynomials. In comparison with ordinary least square commonly used in the design of fuzzy radial basis function neural networks, WLS could come with a different type of the local model in each rule when dealing with the FRBFNN. Since the performance of the FRBFNN model is directly affected by some parameters such as e.g., the fuzzification coefficient used in the FCM, the number of rules and the orders of the polynomials present in the consequent parts of the rules, we carry out both structural as well as parametric optimization of the network. The proposed IMSSA that aims at the simultaneous minimization of complexity and the maximization of accuracy is exploited here to optimize the parameters of the model. Experimental results illustrate that the proposed neural network leads to better performance in comparison with some existing neurofuzzy models encountered in the literature.
목차
Abstract
1. Introduction
2. Architectures and Learning of the FRBFNN
3. Multiobjective Optimization of the FRBFNN
4. Experimental Studies
5. Conclusions
Acknowledgements
References
참고문헌 (36)
참고문헌 신청
1. [학술지(정기간행물)] - S. Mitra / 2001 / FRBF: A Fuzzy Radial Basis Function Network / Neural Comput. Applic. 10 : 244 ~ 252
2. [학술지(정기간행물)] - F. Behloul / 2002 / Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data / Pattern Recognition 35 : 659 ~ 675
3. [학술지(정기간행물)] - W. Huang / 2011 / Project-scheduling problem with random time-dependent activity duration times / IEEE Transactions on Engineering Management 58 (2) : 377 ~ 387
4. [학술지(정기간행물)] - F.J. Lin / 2009 / Recurrent Functional-Link-Based Fuzzy-Neural-Network-Controlled Induction-Generator System Using Improved Particle Swarm Optimization / IEEE Trans. Indust. Elect. 56 (5) : 1557 ~ 1577
5. [학술지(정기간행물)] - W. Pedrycz / 2006 / Linguistic models as a framework of user-centric system modeling / IEEE Trans. Syst., man cybern. –PART A : Systems and humans 36 (4) : 727 ~ 745
2. [학술지(정기간행물)] - F. Behloul / 2002 / Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data / Pattern Recognition 35 : 659 ~ 675
3. [학술지(정기간행물)] - W. Huang / 2011 / Project-scheduling problem with random time-dependent activity duration times / IEEE Transactions on Engineering Management 58 (2) : 377 ~ 387
4. [학술지(정기간행물)] - F.J. Lin / 2009 / Recurrent Functional-Link-Based Fuzzy-Neural-Network-Controlled Induction-Generator System Using Improved Particle Swarm Optimization / IEEE Trans. Indust. Elect. 56 (5) : 1557 ~ 1577
5. [학술지(정기간행물)] - W. Pedrycz / 2006 / Linguistic models as a framework of user-centric system modeling / IEEE Trans. Syst., man cybern. –PART A : Systems and humans 36 (4) : 727 ~ 745
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UCI(KEPA) : I410-ECN-0101-2013-560-002708683