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The traditional wave superposition method has the merit of higher computing velocity and higher calculation precision. But it relies solely on mesh geometry, and it cannot accommodate fast shape changes in the design stage of a consumer product or machinery, where much iteration of shape changes is required. And a new approach for representing geometry is introduced by constructing a uniform lattice...
The structure of RBF neural networks and an improved K-means algorithm will be introduced in the paper. Based on this, RBF neural networks is applied to predict the QoS of Web Service and the functions of the MATLAB toolbox are adopted to create a network model for QoS prediction. Finally the simulation experiments will prove that using RBF neural networks based on the improved K-means algorithm to...
In order to improve the calculation accuracy of structural system failure probability, RBF neural networks which is based on the failure probability data calculated accurately can simulate into the four-dimensional space neural network of a single output neuron and three input neurons because system failure probability is related to reliability index, failure mode number and the correlation coefficient...
Introduced the method of artificial neural networks, established a three-tier management of forest resources feed-forward back-propagation neural network model. Simulation results show that artificial neural network model can be applied to dynamic simulation of forest resources. And high precision, linear regression equation is a strong correlation. The results clearly demonstrate the superiority...
Based on powerful data analysis software Matlab platform to analyze the spatial variability of NH4+-N desorption in soil polluted by rare earth leaching, through the analysis of trend surface, we can know that: under different mass ratios of desorption agent and contaminated soil, the spatial distribution variability of NH4+-N in soil is significant, reacting the significant desorption effect of desorption...
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