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In this paper, an effective classification approach for action scenes is proposed, which exploits the film grammar used by filmmakers as guideline to extract features, detect and classify action scenes. First, action scenes are detected by analyzing film rhythm of video sequence. Then four important features are extracted to characterize chase and fight scenes. After then the Probability Neural Networks...
With the development of credit market and changes in credit risk, many new quantitative assessment models and management strategies in the area of measurement and management. In this study, we discuss AHP for designing a credit assessment system to discriminate good creditors from bad ones.
Earth science refers to a method and theory of using physical and chemical principles, etc, to explore underground minerals and study geological structures as well as one of important means by which people know and understand the earth by gravity, magnetic force, conductivity, earthquake, radioactivity and logging, etc. The scientific data produced in earth science researches is called earth data...
This paper optimizes the wavelet neural networks with genetic algorithms which has the optimization of the overall search capabilities, and establishes the model of wavelet neural networks based on genetic algorithms. It overcomes the shortcomings of BP neural network for their own, and it can get higher accuracy and faster convergence. The examples also show that the model can improve forecast accuracy...
The paper proposes short-term power load forecasting model based on fuzzy RBF neural network, it has overcome the BP algorithm's disadvantage of slow convergence rate and it fall into partially the smallest insufficiency easily. RBF network model in the use of the latest neighborhood clustering algorithm, and the network structure and the parameters are double-adjusted and the training speed and forecast...
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