Evolutionary Computation and Its Applications in Neural and Fuzzy Systems
المؤلفون المشاركون
Du, K.-L.
Lu, Jiabin
Zhang, Biaobiao
Wu, Yue
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2011، العدد 2011 (31 ديسمبر/كانون الأول 2011)، ص ص. 1-20، 20ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2011-10-13
دولة النشر
مصر
عدد الصفحات
20
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Neural networks and fuzzy systems are two soft-computing paradigms for system modelling.
Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization.
Structural optimization is a discrete optimization problem which is very hard to solve using conventional optimization techniques.
Parametric optimization can be solved using conventional optimization techniques, but the solution may be easily trapped at a bad local optimum.
Evolutionary computation is a general-purpose stochastic global optimization approach under the universally accepted neo-Darwinian paradigm, which is a combination of the classical Darwinian evolutionary theory, the selectionism of Weismann, and the genetics of Mendel.
Evolutionary algorithms are a major approach to adaptation and optimization.
In this paper, we first introduce evolutionary algorithms with emphasis on genetic algorithms and evolutionary strategies.
Other evolutionary algorithms such as genetic programming, evolutionary programming, particle swarm optimization, immune algorithm, and ant colony optimization are also described.
Some topics pertaining to evolutionary algorithms are also discussed, and a comparison between evolutionary algorithms and simulated annealing is made.
Finally, the application of EAs to the learning of neural networks as well as to the structural and parametric adaptations of fuzzy systems is also detailed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Biaobiao& Wu, Yue& Lu, Jiabin& Du, K.-L.. 2011. Evolutionary Computation and Its Applications in Neural and Fuzzy Systems. Applied Computational Intelligence and Soft Computing،Vol. 2011, no. 2011, pp.1-20.
https://search.emarefa.net/detail/BIM-509733
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Biaobiao…[et al.]. Evolutionary Computation and Its Applications in Neural and Fuzzy Systems. Applied Computational Intelligence and Soft Computing No. 2011 (2011), pp.1-20.
https://search.emarefa.net/detail/BIM-509733
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Biaobiao& Wu, Yue& Lu, Jiabin& Du, K.-L.. Evolutionary Computation and Its Applications in Neural and Fuzzy Systems. Applied Computational Intelligence and Soft Computing. 2011. Vol. 2011, no. 2011, pp.1-20.
https://search.emarefa.net/detail/BIM-509733
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-509733
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر