Simplified Artificial Neural Network Configuration in R Programming for Predictive Modelling-Reference-Cited by-同舟云学术

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Simplified Artificial Neural Network Configuration in R Programming for Predictive Modelling

Published:2023-12-02 Issue: Volume:25 Page:1-6
ISSN:
Container-title:2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
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Author:

Razak Tajul Rosli¹,Jarimi Hasila²,Ahmad Emy Zairah³

Affiliation:

1. Universiti Teknologi MARA,School of Computing Sciences, College of Computing, Informatics and Mathematics,Selangor

2. University Kebangsaan Malaysia,Solar Energy Research Institute,Bangi,Selangor

3. Universiti Teknikal Malaysia Melaka,Fakulti Teknologi dan Kejuruteraan Elektrik,Durian Tunggal

Funder

College of Computing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467192/10468068/10468195.pdf?arnumber=10468195

Reference14 articles.

1. Predictive models: important problems and innovative methods

2. Modelling, prediction and classification of student academic performance using artificial neural networks

3. Machine learning for energy consumption prediction and scheduling in smart buildings

4. Machine Learning and Deep Learning in Energy Systems: A Review

5. Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications

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