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Machine Learning Application in the Hybrid Optical Wireless Networks

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Machine Intelligence and Soft Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1280))

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Abstract

Complex problems invariably involve big data. Machine learning (ML) deals with this big data. Machine learning does classification, regression and decision making better than human beings. Large data produced by communication networks can be utilized for deriving efficient optimized solutions. Network performance improves by usage of ML techniques for network design and management. In this article, we have summarized advanced ML techniques for network domain. Further, a survey of ML techniques in several network design problems done, and their performance is discussed.

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Authors and Affiliations

  1. Department of CSE, National Institute of Technology, Durgapur, India

    Deepa Naik & Tanmay De

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  1. Deepa Naik
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  2. Tanmay De
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Correspondence to Deepa Naik .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, K. L. University, Guntur, Andhra Pradesh, India

    Debnath Bhattacharyya

  2. Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India

    N. Thirupathi Rao

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Naik, D., De, T. (2021). Machine Learning Application in the Hybrid Optical Wireless Networks. In: Bhattacharyya, D., Thirupathi Rao, N. (eds) Machine Intelligence and Soft Computing. Advances in Intelligent Systems and Computing, vol 1280. Springer, Singapore. https://doi.org/10.1007/978-981-15-9516-5_41

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