Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This study was carried out using the monthly (January 2007 to December 2017 with a total of 108 data points) reported road traffic crashes along the roads connecting the main city of Enugu State Nigeria. In this work, we gave a general overview of the three basic aspects of exponential smoothing models proposed with their applications on the cases of road traffic crashes (accident). The relationship between autoregressive integrated moving average models and exponential smoothing models was also given. Using a grid search method for the estimation of smoothing parameters, the best exponential smoothing models for each of the cases was identified based on the Mean square error (MSE), Mean absolute error (MAE) and Mean absolute percentage error (MAPE). The Holt-Winter (Triple) exponential smoothing model expounded by Peter Winter (1960) yielded optimum value in each of the measures for each route since the series exhibit both trend and seasonality.
Eze, C. M.. 2020. \u201cModeling the Cases of Road Traffic Crashes: A Case of Exponential Smoothing Approach\u201d. Global Journal of Science Frontier Research - I: Interdisciplinary GJSFR-I Volume 20 (GJSFR Volume 20 Issue I1): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 106
Country: Nigeria
Subject: Global Journal of Science Frontier Research - I: Interdisciplinary
Authors: Eze, C. M., Asogwa, O. C., Okonkwo, C. R. (PhD/Dr. count: 0)
View Count (all-time): 146
Total Views (Real + Logic): 2557
Total Downloads (simulated): 1265
Publish Date: 2020 02, Thu
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This study was carried out using the monthly (January 2007 to December 2017 with a total of 108 data points) reported road traffic crashes along the roads connecting the main city of Enugu State Nigeria. In this work, we gave a general overview of the three basic aspects of exponential smoothing models proposed with their applications on the cases of road traffic crashes (accident). The relationship between autoregressive integrated moving average models and exponential smoothing models was also given. Using a grid search method for the estimation of smoothing parameters, the best exponential smoothing models for each of the cases was identified based on the Mean square error (MSE), Mean absolute error (MAE) and Mean absolute percentage error (MAPE). The Holt-Winter (Triple) exponential smoothing model expounded by Peter Winter (1960) yielded optimum value in each of the measures for each route since the series exhibit both trend and seasonality.
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