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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fan Liu Meng Joo Er |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Block S2, Singapore, 639798 (Fan Liu; Meng Joo Er) |
| Abstract | In this paper, a Self-organizing Fuzzy Neural Network employing an Extended Kalman Filter (EKF), termed Self-organizing Fuzzy Neural Networks with Extended Kalman Filter (SOFNNEKF) is designed and developed. The learning algorithm based on an EKF is simple and effective and is able to generate a fuzzy neural network with a high accuracy and compact structure. The structure learning of the SOFNNEKF, based on adding and pruning techniques is proposed. The EKF algorithm is used to adjust free parameters of the SOFNNEKF. Simulation and comparative studies with other methods demonstrate that a more compact structure with high performance can be achieved by the proposed algorithm. |
| Starting Page | 423 |
| Ending Page | 427 |
| File Size | 287677 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424451951 |
| ISSN | 19483457 |
| DOI | 10.1109/ICCA.2010.5524416 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fuzzy neural networks Neurons Neural networks Radio access networks Fuzzy control Fuzzy logic Fuzzy systems Resource management Automatic control Design automation |
| Content Type | Text |
| Resource Type | Article |
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