RETRACTED: Retraction notice to: Fuzzy controller training using particle swarm optimization for nonlinear system control
ISA Transactions, Volume 47, Issue 2, April 2008, Pages 229-239,
Cihan Karakuzu
This article has been retracted at the request of the author and/or the Editor-in-Chief. Please see Elsevier Policy on Article Withdrawal
Reason: This article has been retracted at the request of the Editor in Chief as the author has plagiarized parts of previously published papers in introductory and discussion sections:
Jang J-SR, ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans Syst Man Cybern 1993;23(3):665-85
Parrott Daniel, Li Xiaodong, Locating and tracking multiple dynamic optima by a particle swarm model using speciation, IEEE Trans Evol Comput 2006;10(4):440-58.
Juang, C.-F., Liou, Y.-C. On the hybrid of genetic algorithm and particle swarm optimization for evolving recurrent neural network 2004 IEEE International Conference on Neural Networks - Conference Proceedings 3, pp. 2285-2289
Cai, X., Zhang, N., Venayagamoorthy, G.K., Wunsch II, D.C., Time series prediction with recurrent neural networks using a hybrid PSO-EA algorithm, 2004 IEEE International Conference on Neural Networks - Conference Proceedings 2, pp. 1647-1652
Lu, C.-F., Juang, C.-F., Control of flexible AC transmission system by evolutionary fuzzy controller, 2004 Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 3, pp. 2292-2296
Jang, Jyh-Shing R., Self-learning fuzzy controllers based on temporal back propagation, 1992, IEEE Transactions on Neural Networks 3 (5), pp. 714-723
Ray, W.H., New approaches to the dynamics of nonlinear systems with implications for process and control design, 1981, Chemical Process Control 2 119
One of the conditions of submission of a paper for publication is that authors declare explicitly that all portions of their work are original and have not appeared in a publication elsewhere. Re-use of any text, figures, or data should be appropriately cited. Since this article quoted sections of prior work without appropriate acknowledgment, it violates scientific publishing system protocol. The scientific community takes a very strong view on this matter and we apologize to readers of the journal that this was not detected during the submission process.
