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This paper investigates the decision planning problem of a quadrotor in dynamical environment where there are moving target robots that are ready to be driven into an aim area by turn commands from the quadrotor. First, a model of the decision planning problem is formulated. Second, a searching based planning algorithm is proposed for the quadrotor to determine when and where to command which target...
Interval data is often met with in the real world. Fuzzy c-means for interval dataset (IFCM), an effective tool for clustering small or moderate scale interval dataset, can not deal with large scale interval dataset. This paper presents a new clustering method for this problem. The new method introduces collaborative mechanism into the IFCM to raise the efficiency. In other words, this method implements...
Spectrum management in cognitive radio is one of the most challenging issues and has attracted much research attentions in recent years. However most of the existing works consider either online demands or scheduled demands, which may not fully capture the flexible nature of the demands in certain circumstances, such as the communication demands for a synchronized sensing data transmission in wireless...
Through the research to the 3D-parking scheduling, bring forward the use of GAAA algorithm to search for the shortest path with shortest time in parking scheduling firstly, the GAAAA algorithm inosculate the Genetic Algorithm (GA) and Ant Algorithm (AA), which make up the shortcoming of GA and AA very well. Furthermore, through the simulation analysis proved that GAAA have better performance than...
We propose a novel algorithm based on clustering to extract rules from artificial neural networks. After networks Beijing trained and pruned successfully, inner-rules are generated by discrete activation values of hidden units. Then, weights between input and hidden units are clustered to decrease the complexity of rules extraction. In clustering phase, the clustered number of weights can be adjusted...
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