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Preface

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Preface. / Angelov, Plamen; Filev, Dimitar; Kasabov, Nik et al.
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems. IEEE, 2012. p. iii-iv.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNForeword/postscript

Harvard

Angelov, P, Filev, D, Kasabov, N & Iglesias, JA 2012, Preface. in 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems. IEEE, pp. iii-iv, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012, Madrid, Spain, 17/05/12. https://doi.org/10.1109/EAIS.2012.6232790

APA

Angelov, P., Filev, D., Kasabov, N., & Iglesias, J. A. (2012). Preface. In 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems (pp. iii-iv). IEEE. https://doi.org/10.1109/EAIS.2012.6232790

Vancouver

Angelov P, Filev D, Kasabov N, Iglesias JA. Preface. In 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems. IEEE. 2012. p. iii-iv doi: 10.1109/EAIS.2012.6232790

Author

Angelov, Plamen ; Filev, Dimitar ; Kasabov, Nik et al. / Preface. 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems. IEEE, 2012. pp. iii-iv

Bibtex

@inbook{e6a1aa4d736e42738731ea0b6a89a1eb,
title = "Preface",
abstract = "An important research challenge that needs to be addressed in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of intelligent; that is, with a high level of flexibility and autonomy. This intelligence needs to be developed by understanding the environment in which these systems operate. However, these environments could be non-stationary, unpredictably changing and partially or completely unknown. For this reason, in order to develop an intelligent system - able to face with problems such as modeling, control, prediction, classification or data mining - in such environments, they need to be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. This is the cornerstone behind the Evolving and Adaptive Intelligent Systems.",
author = "Plamen Angelov and Dimitar Filev and Nik Kasabov and Iglesias, {Jos{\'e} Antonio}",
year = "2012",
month = aug,
day = "15",
doi = "10.1109/EAIS.2012.6232790",
language = "English",
isbn = "9781467317283",
pages = "iii--iv",
booktitle = "2012 IEEE Conference on Evolving and Adaptive Intelligent Systems",
publisher = "IEEE",
note = "2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012 ; Conference date: 17-05-2012 Through 18-05-2012",

}

RIS

TY - CHAP

T1 - Preface

AU - Angelov, Plamen

AU - Filev, Dimitar

AU - Kasabov, Nik

AU - Iglesias, José Antonio

PY - 2012/8/15

Y1 - 2012/8/15

N2 - An important research challenge that needs to be addressed in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of intelligent; that is, with a high level of flexibility and autonomy. This intelligence needs to be developed by understanding the environment in which these systems operate. However, these environments could be non-stationary, unpredictably changing and partially or completely unknown. For this reason, in order to develop an intelligent system - able to face with problems such as modeling, control, prediction, classification or data mining - in such environments, they need to be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. This is the cornerstone behind the Evolving and Adaptive Intelligent Systems.

AB - An important research challenge that needs to be addressed in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of intelligent; that is, with a high level of flexibility and autonomy. This intelligence needs to be developed by understanding the environment in which these systems operate. However, these environments could be non-stationary, unpredictably changing and partially or completely unknown. For this reason, in order to develop an intelligent system - able to face with problems such as modeling, control, prediction, classification or data mining - in such environments, they need to be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. This is the cornerstone behind the Evolving and Adaptive Intelligent Systems.

U2 - 10.1109/EAIS.2012.6232790

DO - 10.1109/EAIS.2012.6232790

M3 - Foreword/postscript

AN - SCOPUS:84864839015

SN - 9781467317283

SP - iii-iv

BT - 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems

PB - IEEE

T2 - 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012

Y2 - 17 May 2012 through 18 May 2012

ER -