Hessian with Mini-Batches for Electrical Demand Prediction

Hessian with Mini-Batches for Electrical Demand Prediction

The steepest descent method is frequently used for neural network tuning. Mini-batches are commonly used to get better tuning of the steepest descent in the neural network. Nevertheless, steepest descent with mini-batches could be delayed in reaching a minimum. The Hessian could be quicker than the...

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Bibliographic Details
Main Authors: Israel Elias, José de Jesús Rubio, David Ricardo Cruz, Genaro Ochoa, Juan Francisco Novoa, Dany Ivan Martinez, Samantha Muñiz, Ricardo Balcazar, Enrique Garcia, Cesar Felipe Juarez
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
tuning
mini-batches
electrical demand
Online Access:https://www.mdpi.com/2076-3417/10/6/2036

Internet

https://www.mdpi.com/2076-3417/10/6/2036

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