Advanced Rule-Based System for Rainfall Occurrence Forecasting by Integrating Machine Learning Techniques-Reference-Cited by-同舟云学术

Advanced Rule-Based System for Rainfall Occurrence Forecasting by Integrating Machine Learning Techniques

Published:2023-01 Issue:1 Volume:149 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Vidyarthi Vikas Kumar¹^ORCID,Jain Ashu²^ORCID

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, National Institute of Technology Raipur, Raipur, Chhattisgarh 492010, India (corresponding author). ORCID: .

2. Formerly, Professor, Dept. of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh 208016, India. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001631

Reference79 articles.

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2. Ardiansyah S. M. A. Majid and J. M. Zain. 2016. “Knowledge of extraction from trained neural network by using decision tree.” In Proc. 2nd Int. Conf. on Science in Information Technology 220–225. New York: IEEE. https://doi.org/10.1109/ICSITech.2016.7852637.

3. Augasta M. G. and T. Kathirvalavakumar. 2012. “Rule extraction from neural networks—A comparative study.” In Proc. Int. Conf. on Pattern Recognition Informatics and Medical Engineering (PRIME-2012) 404–408. New York: IEEE. https://doi.org/10.1109/ICPRIME.2012.6208380.

4. Basha C. Z. N. Bhavana P. Bhavya and V. Sowmya. 2020. “Rainfall prediction using machine learning & deep learning techniques.” In Proc. Int. Conf. on Electronics and Sustainable Communication Systems (ICESC) 92–97. New York: IEEE. https://doi.org/10.1109/ICESC48915.2020.9155896.

5. Are artificial neural networks black boxes?

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