Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an expert system to estimate the relationship beten the vehicle pre-braking speed and the length of the skid mark. Since the length of the skid mark varies with many factors, there is no a single formula or equation which can represent the relationship beten the vehicle pre-braking speed and the length of the skid mark. Therefore in this paper an expert system is built to estimate the relationship beten the vehicle pre-braking speed and the length of the skid mark. The radial basis function (RBF) neural network is used for the expert system due to its shorter training time and higher accuracy. There are many factors affecting the skid mark.   choose 7 factors, i.e. brand of vehicle, vehicle displacement, year of manufacture, vehicle ight, vehicles with and without ABS, roadway surface, and vehicle speed for the training in the RBF neural network. The total number of the training data for the RBF neural network is 2619. The results shod that high accuracy is obtained for estimating the relationship beten the vehicle pre-braking speed and the length of the skid mark. Thus the expert system proposed in this paper is demonstrated to be a suitable system for estimating the relationship beten the vehicle pre-braking speed and the length of the skid mark.
['Wen-Kung Tseng', 'Shih-Syong Liao']
I am writing a research paper on a idea An expert system using RBF neural network for estimating vehicle speed based on length of skid mark
[{"from": "human", "value": "I am writing a research paper on a idea An expert system using RBF neural network for estimating vehicle speed based on length of skid mark"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an expert system to estimate the relationship beten the vehicle pre-braking speed and the length of the skid mark. Since the length of the skid mark varies with many factors, there is no a single formula or equation which can represent the relationship beten the vehicle pre-braking speed and the length of the skid mark. Therefore in this paper an expert system is built to estimate the relationship beten the vehicle pre-braking speed and the length of the skid mark. The radial basis function (RBF) neural network is used for the expert system due to its shorter training time and higher accuracy. There are many factors affecting the skid mark.   choose 7 factors, i.e. brand of vehicle, vehicle displacement, year of manufacture, vehicle ight, vehicles with and without ABS, roadway surface, and vehicle speed for the training in the RBF neural network. The total number of the training data for the RBF neural network is 2619. The results shod that high accuracy is obtained for estimating the relationship beten the vehicle pre-braking speed and the length of the skid mark. Thus the expert system proposed in this paper is demonstrated to be a suitable system for estimating the relationship beten the vehicle pre-braking speed and the length of the skid mark."}]