PROVISIONING DEEP LEARNING (DL) MODELS THAT PRESERVE RELATIONSHIPS BETWEEN RESPONSE VARIABLES AND SELECTED EXPLANATORY VARIABLES

Implementations for training a denoising stacked autoencoder (DAE) using a noisy training dataset comprising a noisy sub-set and a non-noisy sub-set, providing an artificial neural network (ANN) including multiple hidden layers, at least one hidden layer including at least a portion of an encoder of...

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Bibliographische Detailangaben

Hauptverfasser:	Chate, Sneha, Gaba, Rajan, Rajendran, Boobesh, Chopra, Neha, Tyagi, Shiva, Passalis, Georgios
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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