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Traditional neural network approaches for traffic flow forecasting are usually single task learning (STL) models, which do not take advantage of the information provided by related tasks. In contrast to STL, multitask learning (MTL) has the potential to improve generalization by transferring information in training signals of extra tasks. In this paper, MTL based neural networks are used for traffic...
A vision-based inspection method based on rough set theory, fuzzy set and neural network algorithm is presented. The rough set method is proposed to remove redundant features for its data analysis and processing. The reduced data is fuzzified to represent the feature data in a more suitable form for input to a BP network classifier. The BP neural classifier is considered the most popular, effective...
For multi-target attacking decision, the airfight preponderant-function has been set up based on experience. Rules of target allotment in multi-target attack have been put forward, then the arithmetic of target assignment in multi-target attack is established, by which the decision of target distribution in cooperative multi-target attacking condition can been given. The artificial neural net was...
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