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Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122
作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi
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Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.  
Output Feedback Stabilization for MIMO Semi-linear Stochastic Systems with Transient Optimisation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 83-95
作者:  Qi-Chun Zhang;  Liang Hu;  John Gow
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Multi-input-multi-output (MIMO) stochastic systems  output feedback stabilisation  block backstepping  randomness attenuation  probabilistic decoupling  mutual information.  
Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 55-70
作者:  Carlos Beltran-Perez;  Hua-Liang Wei;  Adrian Rubio-Solis
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Nonlinear system identification  image processing  discrete cosine transform  radial basis functions  computer-aided diagnosis  neural networks.  
Spectral-spatial Classification of Hyperspectral Images Using Signal Subspace Identification and Edge-preserving Filter 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 222-232
作者:  Negin Alborzi;  Fereshteh Poorahangaryan;  Homayoun Beheshti
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Hyperspectral image  remote sensing  the hyperspectral signal subspace identification (HYSIME)  edge-preserving filter  classification  support vector machine.  
Simultaneous Identification of Process Structure,Parameters and Time-delay Based on Non-negative Garrote 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 873-882
作者:  Jian-Guo Wang;  Qian-Ping Xiao;  Tiao Shen;  Shi-Wei Ma;  Wen-Tao Rao;  Yong-Jie Zhang
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Model structure  model parameter  time-delay  non-negative garrote  variable selection.