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Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage
Brain SciencesBackground: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing ...
Yongqiang Zhang +5 more
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Nature and Science of Sleep, 2022 Papangkorn Inkeaw,1 Pimwarat Srikummoon,2,3 Jeerayut Chaijaruwanich,1,4 Patrinee Traisathit,2,3,5 Suphakit Awiphan,1,4 Juthamas Inchai,6 Ratirat Worasuthaneewan,7 Theerakorn Theerakittikul6,7 1Data Science Research Center, Department of Computer Science,
Inkeaw P +7 more
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Цифровая трансформацияThe article describes the problems of developing neurocontrollers for controlling dynamic objects, including the complexity of forming training data sets. It is indicated that one of the known methods for training an artificial neural network controlling
D. O. Petrov
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Utilization of Artificial Neural Network
ARCHive-SR, 2018 Artificial neural networks (NN), have been applied to many construction management problems in urban projects. NN have showed some degree of success so the objective of this paper is to highlight some applications of this tool in the construction ...
Sherif Mohamed Hafez
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An application and modelling on the artificial neural network to the RHV Tube [PDF]
Revista Română de Informatică și AutomaticăArtificial neural networks represent highly advanced and adaptable tools for addressing challenges, attributed to their capacity for learning through examples and forming generalisations.
Murat Eray KORKMAZ
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A Wavelet Neural Network for SAR Image Segmentation
Sensors, 2009 This paper proposes a wavelet neural network (WNN) for SAR image segmentation by combining the wavelet transform and an artificial neural network. The WNN combines the multiscale analysis ability of the wavelet transform and the classification capability
Fa-Yu Wang, Xian-Bin Wen, Hua Zhang
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A novel time difference of arrival localization algorithm using a neural network ensemble model
International Journal of Distributed Sensor Networks, 2018 In a localization system, time difference of arrival technique is widely used to estimate the location of a mobile station. To improve the performance of mobile station location estimation, a novel algorithm-based artificial neural network ensemble and ...
Zhenkai Zhang +3 more
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Prediction of Molten Steel End Point Temperature in LF Based on Modified Artificial Neural Network
Teshugang, 2006 The prediction model of end point temperature of molten steel refining in a 40 t ladle furnace has been developed bya modified artificial neural network calculation method.
陶子玉, 姜茂发, 刘承军
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ANOMALY NETWORK INTRUSION DETECTION SYSTEM BASED ON DISTRIBUTED TIME-DELAY NEURAL NETWORK (DTDNN) [PDF]
Journal of Engineering Science and Technology, 2010 In this research, a hierarchical off-line anomaly network intrusion detection system based on Distributed Time-Delay Artificial Neural Network is introduced. This research aims to solve a hierarchical multi class problem in which the type of attack (DoS,
LAHEEB MOHAMMAD IBRAHIM
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Prediction of risk factors for linezolid-induced thrombocytopenia based on neural network model
Frontiers in PharmacologyBackground: Based on real-world medical data, the artificial neural network model was used to predict the risk factors of linezolid-induced thrombocytopenia to provide a reference for better clinical use of this drug and achieve the timely prevention of ...
Xian Zhao +9 more
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