Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks

Abstract

In this research, we have developed a new algorithm in the field of optimiza-tion and its application in teaching artificial neural networks with front feeding to predict the risk of car accidents due to consuming alcoholic beverages, and the algorithm has proven a high efficiency in prediction as it was compared with the results of the model predicting the risk of car accidents due to eating Given alco-hol and the results were very close to the true solution to the model

Keywords

• Artificial Neural Networks
• Conjugate Gradient
• Machine Learning
• Mathematical Modelling
• Optimization

Kaynakça

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