A method of improving performance of fuzzy neural network based on Differential Evolution

被引：1

作者：

Ma, Ming ^{[1
]}

Xu, Yan ^{[1
]}

Zhang, Li-Biao ^{[2
]}

机构：

[1] Beihua Univ, Informat Manage Ctr, Jilin 132013, Peoples R China

[2] Jilin Univ, Coll Comp Sci &Technol, Changchun 130012, Peoples R China

来源：

PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年

关键词：

differential evoltion; fuzzy neural network; fuzzy rule;

D O I：

10.1109/ICMLC.2008.4620527

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Differential evolution is a powerful evolutionary inspired search technique for global optimization. We have proposed a new algorithm based on differential Evolution to solve the fuzzy neural network design problem, it can identify an optimal and efficient fuzzy, neural network structure for a given problem. Numerical simulations show the effectiveness of the proposed algorithm.

引用

页码：874 / +

页数：2

共 50 条

[1] Method for improving classification performance of neural network based on fuzzy input and network inversion
Wu, Y
Wang, SJ
[J]. JOURNAL OF INFRARED AND MILLIMETER WAVES, 2005, 24 (01) : 15 - 18
[2] Evaluation method based on neural network differential evolution
Jiang Li
[J]. Cluster Computing, 2019, 22 : 4869 - 4875
[3] Evaluation method based on neural network differential evolution
Li, Jiang
[J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (02): : S4869 - S4875
[4] Fuzzy neural network optimization and network traffic forecasting based on improved differential evolution
Hou, Yue
Zhao, Long
Lu, Huaiwei
[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 81 : 425 - 432
[5] Speech recognition based on fuzzy neural network and chaotic differential evolution algorithm
Engineering and Technology College, Hubei University of Technology, Wuhan, China
不详
[J]. J. Inf. Comput. Sci., 14 (5451-5458):
[6] Neural Fuzzy Inference Network Based on Differential Evolution for Nonlinear System Control
Lin, Hsueh-Yi
Lin, Cheng-Jian
[J]. SENSORS AND MATERIALS, 2022, 34 (01) : 105 - 120
[7] Parameter estimation of fuzzy neural network controller based on a modified differential evolution
Lu, Hung-Ching
Chang, Ming-Hung
Tsai, Cheng-Hung
[J]. NEUROCOMPUTING, 2012, 89 : 178 - 192
[8] Improving Hopfield neural network performance by fuzzy logic-based coefficient tuning
Cavalieri, S
Russo, M
[J]. NEUROCOMPUTING, 1998, 18 (1-3) : 107 - 126
[9] A Differential Evolution and Spatial Distribution based Local Search for Training Fuzzy Wavelet Neural Network
Bazoobandi, H. A.
Eftekhari, M.
[J]. INTERNATIONAL JOURNAL OF ENGINEERING, 2014, 27 (08): : 1185 - 1193
[10] An Interactively Recurrent Functional Neural Fuzzy Network with Fuzzy Differential Evolution and Its Applications
Lin, Cheng-Jian
Wu, Chih-Feng
Lin, Hsueh-Yi
Yu, Cheng-Yi
[J]. SAINS MALAYSIANA, 2015, 44 (12): : 1721 - 1728

← 1 2 3 4 5 →