Titlebook: Deep Learning and Missing Data in Engineering Systems; Collins Achepsah Leke,Tshilidzi Marwala Book 2019 Springer Nature Switzerland AG 20

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Deep Learning and Missing Data in Engineering Systems

纯朴

Deep Learning and Missing Data in Engineering Systems978-3-030-01180-2Series ISSN 2197-6503 Series E-ISSN 2197-6511

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Networking Individuals and Groupsn combination with optimization algorithms to perform missing data estimation tasks. The results from these networks will be compared against those obtained from using the seven hidden-layered deep autoencoder network from the literature. The network training times are observed to increase with the increasing number of hidden layers.

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https://doi.org/10.1007/978-3-030-01180-2Artificial Intelligence; Missing Data Estimation; Deep Learning; Swarm Intelligence; Machine Learning; Mo

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Springer Nature Switzerland AG 2019

尾随

Introduction to Missing Data Estimation,y a discussion of the classical missing data techniques ensued by a presentation of machine learning approaches to address the missing data problem. Subsequently, machine learning optimization techniques are presented for missing data estimation tasks.

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Deep Learning Framework Analysis,n combination with optimization algorithms to perform missing data estimation tasks. The results from these networks will be compared against those obtained from using the seven hidden-layered deep autoencoder network from the literature. The network training times are observed to increase with the increasing number of hidden layers.