2020
DOI: 10.15837/ijccc.2020.5.3879
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Artificial Neural Network and a Nonlinear Regression Model for Predicting Electrical Pole Crash

Abstract: This paper presents the investigation about a problem situation that Electric Distributor Companies are facing in Chile resulting from transit accidents. The number of vehicle crashes to power distribution poles and street lighting has grown. This situation causes discomfort to citizen and mainly to the neighbors due to power cuts and even on occasion , losses of human lives because of the accident that have occurred. Based on previous research, the accidents are not random nor chance dependent, but the majori… Show more

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“…Artificial neural networks have a high tolerance to noise and can adapt to changes in the data, so they are a good option to real-time fault detection [22]. Artificial Neural Networks are being applied in a vast number of fields such as in the energy field [14,20,33,42], industry [6,40] medicine and biology research [10,38]. Also an important application of ANN is forecasting based on existing data [32].…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…Artificial neural networks have a high tolerance to noise and can adapt to changes in the data, so they are a good option to real-time fault detection [22]. Artificial Neural Networks are being applied in a vast number of fields such as in the energy field [14,20,33,42], industry [6,40] medicine and biology research [10,38]. Also an important application of ANN is forecasting based on existing data [32].…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%