Abstract
This paper presents a technique based on the development of an artificial neural network (ANN) model for modeling and predicting the relationship between the grounding resistance and length of an electrode buried in the soil based on experimental data. The results indicate the strong agreement between the model prediction and experimental values. The statistical analysis shows that the R 2 values were 0.995 and 0.925 for the training and testing sets, respectively.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
