SpeedX: Smart Speed Controller Model of Towed Subterranean Imaging System for Resistivity Data Distortion Reduction Using Computational Intelligence

• DOI: 10.20965/jaciii.2023.p0003
• Publication Date: 2023-01-19T15:02:08Z
• Authors: R-Jay S. Relano; Kate G. Francisco; Ronnie S. Concepc...; Mike Louie C. Enr...; Jonah Jahara G. Baun; Adrian Genevie G....; Ryan Rhay P. Vicerra; Argel A. Bandala; Elmer P. Dadios
• Keywords: Soft Computing; Distortion (music)

Land surveying has been one of the core operations in performing underground imaging. It is known that dynamic and continuous resistivity readings were employed through this technique using array capacitive electrodes being towed with a light vehicle. However, main challenge doing subsurface change speed system when there are inevitable obstacles sloping road surfaces. To address it, study will develop prediction models different computational intelligence such as multigene symbolic regression genetic programming (MSRGP), regression-based decision tree (RTree), feed forward neural network (FFNN) result smart controller can maintain constant subterranean system. The best model be considered SpeedX. expected output correction factor signal slow down or inclined plane environment to 1.6667 m/s for avoidance data distortion on land surveying. Thus, MSEs MSRGP, FFNN, RTree 0.00163, 0.00178, 0.00240, respectively. This results MSRGP was SpeedX model. Other evaluation metrics MAE R 2 which signify advantage Furthermore, comparison between CI-controlled uncontrolled imaging trailer system, well its advantages clearly highlight embedded