Appraisal of Soft Computing Methods in Collaboration With Smart City Applications and Wireless Network

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Author(s): Mamata Rath (Birla School of Management, Birla Global University, Birla, India)and Bibudhendu Pati (Department of Computer Science, Rama Devi Women's University, Bhubaneswar, India)
Copyright: 2018
Volume: 14
Issue: 1
Pages: 16
Source title: International Journal of e-Collaboration (IJeC)
Editor(s)-in-Chief: Jingyuan Zhao (University of Toronto, Canada)
DOI: 10.4018/IJeC.2018010102

Keywords: E-Collaboration / Information Science Reference / Media & Communications / Social Computing

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Abstract

Applications of soft computing methods are spread in fields that deal with intelligent analysis. As the human intelligence can survey the likelihood of some occasions in possibilities, comparatively soft computing systems additionally utilize some smart-based strategies to evaluate ongoing issues with diagnostic models. Fundamental segments of soft computing incorporate machine learning, probabilistic thinking, swarm intelligence, and ANN algorithms. In this research article, there is a broad analysis of these intelligence-based soft computing strategies connected as different operational parts of a wireless network and there is a scheme of a soft computing-based method for smart and safe health care systems.

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Appraisal of Soft Computing Methods in Collaboration With Smart City Applications and Wireless Network

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