A GA-BP neural network algorithm for fault detection of transmission tower bolts by Ziqiang Lu, Pengjie He, Huiwei Liu, Jie Li, Ziying Lu

Subjects: “…GA-BP neural network algorithm…”
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Centralized and Decentralized Data-Sampling Principles for Outer-Synchronization of Fractional-Order Neural Networks by Jin-E Zhang

“…This paper aims to investigate the outer-synchronization of fractional-order neural networks. Using centralized and decentralized data-sampling principles and the theory of fractional differential equations, sufficient criteria about outer-synchronization of the controlled fractional-order neural networks are derived for structure-dependent centralized data-sampling, state-dependent centralized data-sampling, and state-dependent decentralized data-sampling, respectively. …”
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Detection of Microdefects in Fabric with Multifarious Patterns and Colors Using Deep Convolutional Neural Network by Rongfei Xia, Yifei Chen, Yangfeng Ji

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Secured Wireless Network Based on a Novel Dual Integrated Neural Network Architecture by H. V. Ramachandra, Pundalik Chavan, S. Supreeth, H. C. Ramaprasad, K. Chatrapathy, G. Balaraju, S. Rohith, H. S. Mohan

“…DINN comprises two neural networks based on sparse and dense dimensions. …”
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Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay by Jingjing Zeng, Xujun Yang, Lu Wang, Xiaofeng Chen

“…The robust asymptotical stability and stabilization for a class of fractional-order complex-valued neural networks (FCNNs) with parametric uncertainties and time delay are considered in this paper. …”
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An Evaluation Model for Tailings Storage Facilities Using Improved Neural Networks and Fuzzy Mathematics by Sen Tian, Jianhong Chen

“…This paper establishes a reasonable TSF safety evaluation index system and puts forward a new TSF safety evaluation model by combining the theories for the analytic hierarchy process (AHP) and improved back-propagation (BP) neural network algorithm. The varying proportions of cross validation were calculated, demonstrating that this method has better evaluation performance with higher learning efficiency and faster convergence speed and avoids the oscillation in the training process in traditional BP neural network method and other primary neural network methods. …”
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Evaluating Concrete Strength Under Various Curing Conditions Using Artificial Neural Networks by Al-Gburi Majid, Almssad Asaad, Al-Zuhairi Osamah Ibrahim

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Exploring New Dimensions of Archives: Finding Audiovisually Similar Programmes with the Help of Neural Networks by Sara Veldhoen, Rana Klein, Mari Wigham, Roeland Ordelman, Teng Long, Nanne van Noord

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Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network by Linxuan Yang

“…Finally, the RBF neural network is used for comprehensive risk warning. …”
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Verification of a static (off-line) signature using a convolutional neural network by U. Yu. Akhundjanov, V. V. Starovoitov

“…These images served as the source data for the convolutional neural network.As a result of testing the proposed approach, the average accuracy of the correct classification was achieved on medium-sized images and is equal to 93.33%.…”
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Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators by Khaled Humood, Yihan Pan, Shiwei Wang, Alexander Serb, Themis Prodromakis

“…Recently, there has been notable progress in the advancement of RRAM-based Compute-In-Memory (CIM) architectures, showing promise in accelerating neural networks with remarkable energy efficiency and parallelism. …”
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MSSA: multi-stage semantic-aware neural network for binary code similarity detection by Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian

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Quadcopter Trajectory Tracking Based on Model Predictive Path Integral Control and Neural Network by Yong Li, Qidan Zhu, Ahsan Elahi

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Deep empirical neural network for optical phase retrieval over a scattering medium by Huaisheng Tu, Haotian Liu, Tuqiang Pan, Wuping Xie, Zihao Ma, Fan Zhang, Pengbai Xu, Leiming Wu, Ou Xu, Yi Xu, Yuwen Qin

“…Herein, we propose a concept of deep empirical neural network (DENN) that is a hybridization of a deep neural network and an empirical model, which enables seeing through an opaque scattering medium in an untrained manner. …”
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Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks by Juncheng Guo, Yuyan Wu, Lizhi Chen, Guanghua Ge, Yadong Tang, Wenlong Wang

“…Inspired by the achievements of applying deep convolutional neural networks (CNNs) in crack detection in engineering, this article proposes an image-based crack detection method using a deep CNN classifier in combination with a sliding window algorithm. …”
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A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays by Farkhanda Aziz, Azhar Ul Haq, Shahzor Ahmad, Yousef Mahmoud, Marium Jalal, Usman Ali

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Physics Informed Neural Networks for Modeling Large-Scale Wind Driven Ocean Circulation by Boohyun An, Mohammad Z. Shanti, Chan Yeob Yeun, Ernesto Damiani, Sungmun Lee, Tae-Yeon Kim

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Artificial neural networks and remote sensing in the analysis of the highly variable Pampean shallow lakes by Graciela Canziani, Rosana Ferrati, Claudia Marinelli, Federico Dukatz

Subjects: “…artificial neural network…”
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Fish oocyte morphology detection using neural networks: a comparison of YOLO architectures by Yanna Leidy Ketley Fernandes Cruz, Ewaldo Eder Carvalho Santana, Isa Rosete Araujo Nascimento, Antonio Fhillipi Maciel Silva, Raimunda Nonata Fortes Carvalho Neta, José Ribamar de Souza Torres-Junior

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Prediction and Evaluation of Coal Mine Coal Bump Based on Improved Deep Neural Network by Shuang Gong, Yi Tan, Wen Wang

“…To predict coal bump disaster accurately and reliably, we propose a depth neural network (DNN) prediction model based on the dropout method and improved Adam algorithm. …”
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