Neural Network for Big Data Sets

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Author(s): Vo Ngoc Phu (Duy Tan University, Vietnam)and Vo Thi Ngoc Tran (Ho Chi Minh City University of Technology, Vietnam)
Copyright: 2019
Pages: 33
Source title: Computational Intelligence in the Internet of Things
Source Author(s)/Editor(s): Hindriyanto Dwi Purnomo (Satya Wacana Christian University, Indonesia)
DOI: 10.4018/978-1-5225-7955-7.ch012

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / Web Technologies & Engineering

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Abstract

Machine learning (ML), neural network (NN), evolutionary algorithm (EA), fuzzy systems (FSs), as well as computer science have been very famous and very significant for many years. They have been applied to many different areas. They have contributed much to developments of many large-scale corporations, massive organizations, etc. Lots of information and massive data sets (MDSs) have been generated from these big corporations, organizations, etc. These big data sets (BDSs) have been the challenges of many commercial applications, researches, etc. Therefore, there have been many algorithms of the ML, the NN, the EA, the FSs, as well as computer science which have been developed to handle these massive data sets successfully. To support for this process, the authors have displayed all the possible algorithms of the NN for the large-scale data sets (LSDSs) successfully in this chapter. Finally, they have presented a novel model of the NN for the BDS in a sequential environment (SE) and a distributed network environment (DNE).

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