柏树
发表于 2025-3-25 04:10:15
Deep Learning and Missing Data in Engineering Systems
纯朴
发表于 2025-3-25 09:52:34
Deep Learning and Missing Data in Engineering Systems978-3-030-01180-2Series ISSN 2197-6503 Series E-ISSN 2197-6511
landfill
发表于 2025-3-25 14:49:00
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hair-bulb
发表于 2025-3-25 17:21:21
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障碍物
发表于 2025-3-25 20:49:19
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
发表于 2025-3-26 01:55:29
https://doi.org/10.1007/978-3-030-01180-2Artificial Intelligence; Missing Data Estimation; Deep Learning; Swarm Intelligence; Machine Learning; Mo
反对
发表于 2025-3-26 04:49:33
Springer Nature Switzerland AG 2019
尾随
发表于 2025-3-26 12:09:21
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.
exquisite
发表于 2025-3-26 13:29:47
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PHONE
发表于 2025-3-26 18:12:22
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.