Different optimization approaches are explored to solve unconstrained minimization problems numerically in this paper. A classic optimization problem i.e., the Rosenbrock function is considered a benchmark to compare ...
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ISBN:
(纸本)9798350332865
Different optimization approaches are explored to solve unconstrained minimization problems numerically in this paper. A classic optimization problem i.e., the Rosenbrock function is considered a benchmark to compare the performance of multiple algorithms including steepest descent, Newton-Raphson, and fletcher-reeves conjugate gradient. The performance of four methods including fixed step size, variable step size, quadratic fit, and golden section search region elimination with the steepest descent algorithm is investigated also. The required number of iterations to converge the minimum set point while solving problems is considered an evaluation metric. The converging trajectory of the algorithms is presented using level curves.
Massive historical data are stored in chlorine gas monitoring network. So that prediction algorithm of data mining is used to dig historical data not only can make the redundant data reused, but also can forecast the ...
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ISBN:
(纸本)9781479965755
Massive historical data are stored in chlorine gas monitoring network. So that prediction algorithm of data mining is used to dig historical data not only can make the redundant data reused, but also can forecast the network trend and improve the network early warning model. The chlorine gas monitoring wireless sensor network based on ZigBee was designed in this paper. Then fletcher-reeves algorithm was added to dig historical data in the network, forecast the network trend and improve the early warning model. The predicted concentration of chlorine data were trained by data mining model. The maximum relative error between predicted concentration and measured concentration was 11.08%, and the maximum average error was 7.36%. And it can satisfy actual requirements.
Massive historical data are stored in chlorine gas monitoring network. So that prediction algorithm of data mining is used to dig historical data not only can make the redundant data reused, but also can forecast the ...
详细信息
Massive historical data are stored in chlorine gas monitoring network. So that prediction algorithm of data mining is used to dig historical data not only can make the redundant data reused, but also can forecast the network trend and improve the network early warning model. The chlorine gas monitoring wireless sensor network based on ZigBee was designed in this paper. Then fletcher-reeves algorithm was added to dig historical data in the network, forecast the network trend and improve the early warning model. To avoid network monitoring blind areas and save the number of monitoring nodes, the coverage optimal mathematical model of chlorine monitoring wireless sensor network is established. The optimal matching of the node number and the network coverage is realized by using artificial fish-swarm algorithm. The predicted concentration of chlorine data were trained by data mining model. The maximum relative error between predicted concentration and measured concentration was 11.08%, and the maximum average error was 7.36%. And it can satisfy actual requirements.
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