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An algorithm for fast constructing Delaunay triangulations was proposed. In iterations, this algorithm is to select the leftmost one point lying right some convex edges from set of points. The point and those convex edges construct new triangles, and add them to Delaunay triangulations. At same time, when new triangles do not meet Deaunay condition, optimize triangles based on LOP method, which is...
A new energy-efficient wireless sensor network routing algorithm is proposed. The algorithm obtains optimization routing paths using global information of wireless sensor network. And the optimizing process can be reproduced in distribution by constructing a neural network for each node. Simulation results show the algorithm can accomplish routing process correctly and rapidly, and increase network...
JSK fuzzy model is decomposed into two different populations to cooperate coevolution model learning technique for its learning is the problems of multiple constraints and multiple target optimizations. All the related problems are discussed, including encode, evolution calculation, cooperation of every population and evaluation strategy of adaptive value. Fuzzy model is decomposed into two populations:...
TSK fuzzy model is decomposed into two different populations to cooperate coevolution model learning technique for its learning is the problems of multiple constraints and multiple target optimizations. All the related problems are discussed, including encode, evolution calculation, cooperation of every population and evaluation strategy of adaptive value. The technique presented has merits in little...
BP algorithm has been widely used in calibrating measurement results detected by microwave resonator for improvement of accuracy. Conventional BP algorithm tends to get into infinitesimal locally, which worsens the stability of the measurement accuracy. An evolutionary neural network model based on IA-BP optimal algorithm is proposed in this paper. In the model, IA algorithm is first used for global...
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