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

柏樹

Deep Learning and Missing Data in Engineering Systems

純樸

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

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hair-bulb

障礙物

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.

Engaging

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

反對(duì)

Springer Nature Switzerland AG 2019

尾隨

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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PHONE

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.