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RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement
المؤلفون المشاركون
Yan, T. H.
He, B.
Han, Bo
Ma, Mengmeng
Sun, Tingting
Lendasse, Amaury
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-10-20
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
For blended data, the robustness of extreme learning machine (ELM) is so weak because the coefficients (weights and biases) of hidden nodes are set randomly and the noisy data exert a negative effect.
To solve this problem, a new framework called “RMSE-ELM” is proposed in this paper.
It is a two-layer recursive model.
In the first layer, the framework trains lots of ELMs in different ensemble groups concurrently and then employs selective ensemble approach to pick out an optimal set of ELMs in each group, which can be merged into a large group of ELMs called candidate pool.
In the second layer, selective ensemble approach is recursively used on candidate pool to acquire the final ensemble.
In the experiments, we apply UCI blended datasets to confirm the robustness of our new approach in two key aspects (mean square error and standard deviation).
The space complexity of our method is increased to some degree, but the result has shown that RMSE-ELM significantly improves robustness with a rapid learning speed compared to representative methods (ELM, OP-ELM, GASEN-ELM, GASEN-BP, and E-GASEN).
It becomes a potential framework to solve robustness issue of ELM for high-dimensional blended data in the future.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Han, Bo& He, B.& Ma, Mengmeng& Sun, Tingting& Yan, T. H.& Lendasse, Amaury. 2014. RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1044227
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Han, Bo…[et al.]. RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1044227
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Han, Bo& He, B.& Ma, Mengmeng& Sun, Tingting& Yan, T. H.& Lendasse, Amaury. RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1044227
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1044227
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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