Reach On Application Of Neural Network Of Optimization In Reasonable Disposition Of Hauling Capacity

With the development of the world trade volume, the need for transportation has greatly increased. At the same time, worldwide competition has become more and more severe. Experience is far from enough for shipping enterprise to promote transporting efficiency and economic benefit. The application of scientific and experimental approach can provide important basis for the enterprises to make decisions.The thesis is aimed at studying the application of the theory of fuzziness and neural network to optimize hauling capacity. Preliminary study has been accomplished on the development and the model of neural network. Crude oil transportation as an example, has taken good effects by applying a better network to the reasonable disposition of crude oil hauling capacity, with the help of a syntactic analysis of the results with the theory of fuzzy neural network.