Detection, Localization, and Quantification of Damage in Structures via Artificial Neural Networks by Daniele Kauctz Monteiro, Letícia Fleck Fadel Miguel, Gustavo Zeni, Tiago Becker, Giovanni Souza de Andrade, Rodrigo Rodrigues de Barros

“…This paper presents a structural health monitoring method based on artificial neural networks (ANNs) capable of detecting, locating, and quantifying damage in a single stage. …”
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Modulation recognition method based on multi-inputs convolution neural network by Xiong ZHA, Hua PENG, Xin QIN, Guang LI, Tianyun LI

Subjects: “…multi-inputs convolution neural network…”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

Subjects: “…Convolutional neural network…”
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Existence and Uniqueness of Almost Periodic Solutions for Neural Networks with Neutral Delays by Min Xu, Zengji Du, Kaige Zhuang

“…A class of neural networks system with neutral delays is investigated. …”
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State Estimation for Standard Neural Network Models with Time-Varying Delays by Jin Zhu, Tai-Fang Li, Huanqing Wang

“…The paper deals with the issue of state estimation for standard neural network models with time-varying delays. A new augmented vector with the derivative of the state is introduced in the Lyapunov–Krasovskii functional. …”
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Enhanced Dynamic Model of Pneumatic Muscle Actuator with Elman Neural Network by Alexander Hošovský, Ján Piteľ, Kamil Židek

“…To improve the accuracy of the model, these effects are treated as a disturbance modeled using the recurrent (Elman) neural network. Recurrent neural network was preferred over feedforward type due to its better long-term prediction capabilities well suited for simulation use of the model. …”
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A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption by Osama Sohaib, Walayat Hussain, Muhammad Asif, Muhammad Ahmad, Manuel Mazzara

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In situ training of an in-sensor artificial neural network based on ferroelectric photosensors by Haipeng Lin, Jiali Ou, Zhen Fan, Xiaobing Yan, Wenjie Hu, Boyuan Cui, Jikang Xu, Wenjie Li, Zhiwei Chen, Biao Yang, Kun Liu, Linyuan Mo, Meixia Li, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

“…Here, we experimentally demonstrate the in situ training of an in-sensor artificial neural network (ANN) based on ferroelectric photosensors (FE-PSs). …”
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Nonlinear Dynamics and Chaos in Fractional-Order Hopfield Neural Networks with Delay by Xia Huang, Zhen Wang, Yuxia Li

“…A fractional-order two-neuron Hopfield neural network with delay is proposed based on the classic well-known Hopfield neural networks, and further, the complex dynamical behaviors of such a network are investigated. …”
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Retracted: Swimming Training Evaluation Method Based on Convolutional Neural Network by null Complexity

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Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network by Xun Duan, Yuanshun Wang, Yun Wu

“…Aiming at the problem of a large number of parameters and high time complexity caused by the current deep convolutional neural network models, an improved face alignment algorithm of a cascaded convolutional neural network (CCNN) is proposed from the network structure, random perturbation factor (shake), and data scale. …”
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An Improved Multibranch Convolutional Neural Network with a Compensator for Crowd Counting by Zhiyun Zheng, Zhenhao Sun, Guanglei Zhu, Zhenfei Wang, Junfeng Wang

“…To solve the above problems, this paper proposes a new type of multibranch neural network with a compensator, in which features are extracted through multibranch subnetworks of different scales. …”
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Comparison of Neural Network Error Measures for Simulation of Slender Marine Structures by Niels H. Christiansen, Per Erlend Torbergsen Voie, Ole Winther, Jan Høgsberg

“…Training of an artificial neural network (ANN) adjusts the internal weights of the network in order to minimize a predefined error measure. …”
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Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy by Yucong You

“…Secondly, this paper designs an efficient Elman neural network topology and sends the selected important data into the neural network for data learning and neural network parameter optimization, to achieve a more accurate agricultural economic forecasting model. …”
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Congestion　Control　for　ATM　Networks　Based　on　Diagonal　Recurent　Neural　Networks by Huang Yunxian Yan Wei (Air Force Institute of Meteorology, Nanjing 211101)

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Uncertainty-based quantization method for stable training of binary neural networks by A.V. Trusov, D.N. Putintsev, E.E. Limonova

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Modeling Radiation Belt Electrons With Information Theory Informed Neural Networks by Simon Wing, Drew L. Turner, Aleksandr Y. Ukhorskiy, Jay R. Johnson, Thomas Sotirelis, Romina Nikoukar, Giuseppe Romeo

“…The model is constructed with neural networks assisted by information theory. Information theory is used to select the most effective and relevant solar wind and magnetospheric input parameters plus their lag times based on their information transfer to the PSD. …”
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Determination of the deformation modulus of binary composite using artificial neural network by E. S. Klimanova

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Anomalous Node Detection in Blockchain Networks Based on Graph Neural Networks by Ze Chang, Yunfei Cai, Xiao Fan Liu, Zhenping Xie, Yuan Liu, Qianyi Zhan

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Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process by Athraa Sabeeh Hasan Allak, Jianjun Yi, Haider M. Al-Sabbagh, Liwei Chen

Subjects: “…Siamese neural network…”
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