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Why Deep Neural Nets Cannot Ever Match Biological Intelligence and What To Do About It? 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 532-541
作者:  Danko Nikolic
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Artificial intelligence  neural networks  strong artificial intelligence  practopoiesis, machine learning.  
Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519
作者:  Tomaso Poggio;  Hrushikesh Mhaskar;  Lorenzo Rosasco;  Brando Miranda;  Qianli Liao
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Deep learning  fine-grained image classification  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 80-92
作者:  Sulaiman Ayobami Lawal;  Jie Zhang
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Dynamic principal component analysis  fault detection and diagnosis  distillation column  fault tolerant controller  inferential control.  
Molecular Dynamics Simulation of Persistent Slip Bands Formation in Nickel-base Superalloys 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 68-79
作者:  Jian-Feng Huang;  Zhong-Lai Wang;  Er-Fu Yang;  Don McGlinchey;  Yuan-Xin Luo;  Yun Li;  Yi Chen
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Persistent slip bands (PSB)  molecular dynamics  superalloys  computational simulation  embedded atom model (EAM).  
A Novel Minkowski-distance-based Consensus Clustering Algorithm 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 33-44
作者:  De-Gang Xu;  Pan-Lei Zhao;  Chun-Hua Yang;  Wei-Hua Gui;  Jian-Jun He
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Minkowski distance  consensus clustering  similarity matrix  process data  froth flotation.  
An Advanced Prediction Mechanism to Analyse Pore Geometry Shapes and Identification of Blocking Effect in VRLA Battery System 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 21-32
作者:  Alessandro Mariani;  Kary Thanapalan1 Peter Stevenson;  Jonathan Williams
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Positive active material  crystal structure  valve regulated lead acid (VRLA) batteries  modelling, estimation and recovery techniques.  
Pinning Control and Controllability of Complex Dynamical Networks 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 1-9
作者:  Guanrong Chen
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Complex network  pinning control  controllability  linear time-invariant (LTI) system  temporally switching network  graph theory.