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The SVM can realize data classification and prediction, the selection of penalty parameter c and kernel function g in training models directly affect the forecasting accuracy of the classification, the article use the K-CV method for c, g parameters optimization and processing, in wine species identification as an example to predict classification, improves the forecast accuracy, has reached the expected...
An improved feature-level fusion algorithm based on kernel canonical correlation analysis is presented and applied to multimodal recognition based on fusion of ear and profile face in this paper. The fusion of ear and face biometrics could fully utilize their connection relationship of physiological location, and possess the advantage of recognizing people without their cooperation. First, only the...
Based on particle swarm optimization (PSO) and artificial bee colony (ABC), a novel hybrid swarm intelligent algorithm is developed in this paper. Two information exchanging processes are introduced to share valuable information mutually between particle swarm and bee colony. Numerical results show that the proposed method is effective and performs better than both PSO and ABC.
On-demand logistics means to respond each time customer's individual request one by one. On-demand logistics mechanism is established on the theory of on-demand logistics. It can optimize the logistics system through E TO E (End to End, the supply chain of upstream and downstream). Through the supply, production and sales of all the links, on-demand logistics mechanism can also militate the entire...
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