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Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model
المؤلفون المشاركون
Liu, Yang
Xu, Lixiong
Jing, Weizhe
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-04-27
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Artificial Neural Network (ANN) is a widely used algorithm in pattern recognition, classification, and prediction fields.
Among a number of neural networks, backpropagation neural network (BPNN) has become the most famous one due to its remarkable function approximation ability.
However, a standard BPNN frequently employs a large number of sum and sigmoid calculations, which may result in low efficiency in dealing with large volume of data.
Therefore to parallelize BPNN using distributed computing technologies is an effective way to improve the algorithm performance in terms of efficiency.
However, traditional parallelization may lead to accuracy loss.
Although several complements have been done, it is still difficult to find out a compromise between efficiency and precision.
This paper presents a parallelized BPNN based on MapReduce computing model which supplies advanced features including fault tolerance, data replication, and load balancing.
And also to improve the algorithm performance in terms of precision, this paper creates a cascading model based classification approach, which helps to refine the classification results.
The experimental results indicate that the presented parallelized BPNN is able to offer high efficiency whilst maintaining excellent precision in enabling large-scale machine learning.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Yang& Jing, Weizhe& Xu, Lixiong. 2016. Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099618
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Yang…[et al.]. Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1099618
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Yang& Jing, Weizhe& Xu, Lixiong. Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099618
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099618
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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