importnumpyasnp# 初始化RBF神经网络的中心参数definitialize_centers(input_data,num_centers):centers=np.random.choice(input_data.shape[0],num_centers,replace=False)returninput_data[centers]# 初始化RBF神经网络的权重definitialize_weights(num_centers):returnnp.random.rand(num_centers)# 示例代码input_data...
Operating Parameter Optimization of Centrifuge Based on APSO-RBF. International Conference on Transportation, Mechanical, and Electrical Engineering, Changchun-China, pp: 2111-2114.Zhou Li-kun,Liu Hong-zhao. Operating parameter optimization of centrifuge based on APSO-RBF[A]. 2011....
This article has been retracted by Hindawi following an investigation undertaken by the publisher [[1]]. Wiley and Hindawi regrets that the usual quality checks did not identify these issues before publication and have since put additional measures in place to safeguard research integrity...
The layout optimization problem of complex box girder structure is solved with a new method RBF-NNM-APSO formed with the digital neural network model (NNM) of radial basis function (RBF) and adaptive particle swarm optimization (APSO) algorithm in this paper. The optimized surrogate model is ...