Yifeng Huo

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In view of the artificial neural network weights training problem, this paper proposed a method to optimize the network's structure parameters and regularization coefficient using two-layer Particle Swarm Optimization (PSO). This algorithm was applied to train Adaline network. Compared with fixed regularization coefficient method and Sliding Mode Variable(More)
In this paper, the simulation control experiments on the VAV terminal unit are studied. First of all, the Sliding Mode Variable Structure Control (SMVSC) algorithm based on nonlinear exact linearization for single-input single-output nonlinear systems is proposed. Then the model of air-damper and air-conditioning room is identified, and the comparative(More)
A novel mixed matrix membrane (MMM) was prepared by incorporating polydopamine-coated metal organic framework (MOF) crystals of CAU-1-NH2 into a PMMA (polymethylmethacrylate) matrix. The MMM possesses the advantages of high O2 permeability, high capability of carbon dioxide capture, and excellent hydrophobic behavior. The MMM was assembled in the Li-air(More)
Ellipsoidal basis function(EBF) can make the partition and limitary of input space. Compared with the Guassian function of radial basis function(RBF) neural network, the EBF can make the partition of input space more specific, which has the higher capability of pattern recognition. However, the neural network has a common problem of training the weight and(More)
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