Hybrid Stochastic Genetic Evolution-Based Prediction Model of Received Input Voltage for Underground Imaging Applications-Reference-Cited by-同舟云学术

Hybrid Stochastic Genetic Evolution-Based Prediction Model of Received Input Voltage for Underground Imaging Applications

Published:2023-05-18 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Business and Industrial Research (ICBIR)
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Author:

Baun Jonah Jahara¹,Janairo Adrian Genevie¹,Concepcion Ronnie²,Francisco Kate²,Enriquez Mike Louie²,Relano R-Jay²,de Leon Joseph Aristotle²,Bandala Argel¹,Vicerra Ryan Rhay²,Dungca Jonathan³

Affiliation:

1. De La Salle University,Department of Electronics and Computer Engineering,Manila,Philippines

2. De La Salle University,Center for Engineering and Sustainability Development Research,Manila,Philippines

3. De La Salle University,Department of Civil Engineering,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10147162/10147394/10147464.pdf?arnumber=10147464

Reference34 articles.

1. Application of Improved BP Neural Network for Wire Network Signal Prediction

2. Application of ANFIS Neural Network for Wire Network Signal Prediction

3. Characterization of Potassium Chloride Stress on Philippine Vigna radiata Varieties in Temperature-stabilized Hydroponics Using Genetic Programming

4. Deep learning for magnitude prediction in earthquake early warning

5. Prediction of voltage distribution using deep learning and identified key smart meter locations

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