Showing 2,421 - 2,440 results of 3,911 for search '"neural network"', query time: 0.07s Refine Results
  1. 2421

    A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles by Jie Hu, Sheng Luo

    Published 2020-01-01
    “…This is accomplished by using a neural network-based learning control paradigm and car-following data. …”
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    Article
  2. 2422

    Hybrid Optimal Kinematic Parameter Identification for an Industrial Robot Based on BPNN-PSO by Guanbin Gao, Fei Liu, Hongjun San, Xing Wu, Wen Wang

    Published 2018-01-01
    “…A novel hybrid algorithm that employs BP neural network (BPNN) and particle swarm optimization (PSO) algorithm is proposed for the kinematic parameter identification of industrial robots with an enhanced convergence response. …”
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    Article
  3. 2423

    Application of Big Data Unbalanced Classification Algorithm in Credit Risk Analysis of Insurance Companies by Xian Wu, Huan Liu

    Published 2022-01-01
    “…Then, use the classic backpropagation neural network, classic k-nearest neighbor, and classic Naive Bayes three algorithms as the base classifier and use the Bagging strategy to get the ensemble learning model. …”
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  4. 2424

    Exploring Coevolution of Emotional Contagion and Behavior for Microblog Sentiment Analysis: A Deep Learning Architecture by Qi Zhang, Zufan Zhang, Maobin Yang, Lianxiang Zhu

    Published 2021-01-01
    “…Next, a CNN-BiLSTM-Attention network (the convolutional neural network and bidirectional long short-term memory network with a multihead attention mechanism) is designed to analyze the sentiment analysis of target and similar microblogs. …”
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    Article
  5. 2425

    Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

    Published 2025-01-01
    “…Experimental results demonstrate that the MC-Swin Transformer model proposed in this paper significantly outperforms traditional convolutional neural network models in key metrics such as accuracy, precision, recall, and F1 score, achieving a recognition accuracy rate of 99.89%. …”
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  6. 2426

    Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis by Jun He, Xiang Li, Yong Chen, Danfeng Chen, Jing Guo, Yan Zhou

    Published 2021-01-01
    “…First, 1-dimension convolutional neural network (1D-CNN), as the basic framework, is used to extract features from vibration signal. …”
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    Article
  7. 2427

    Prescribed Performance Tracking Control for Nonlinear Stochastic Time-Delay Systems with Multiple Constraints by Man Zhang, Ru Chang, Ying Wang

    Published 2025-01-01
    “…The error feedback controller was constructed by combining the backstepping technique, the dynamic surface technique, the neural network approximation technique, and the adaptive control method. …”
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  8. 2428

    Quantitative Nondestructive Testing of Wire Ropes Based on Features Fusion of Magnetic Image and Infrared Image by Shiliang Lu, Juwei Zhang

    Published 2019-01-01
    “…The fusion feature is input into the nearest neighbor (NN) algorithm for quantitative identification, and the same data are input into the backpropagation (BP) neural network for comparison verification. The experimental results show that the fusion of MFL features and infrared features effectively improves the recognition rate of wire rope defects and reduces the recognition error.…”
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  9. 2429

    Noise and Synchronization Analysis of the Cold-Receptor Neuronal Network Model by Ying Du, Rubin Wang, Jingyi Qu

    Published 2014-01-01
    “…This paper analyzes the dynamics of the cold receptor neural network model. First, it examines noise effects on neuronal stimulus in the model. …”
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  10. 2430

    Optimization of cyber security through the implementation of AI technologies by Nawaf Liqaa, Bentotahewa Vibhushinie

    Published 2025-02-01
    “…The Metaheuristic algorithms are stimulated by the human brain, so implementing Artificial Intelligence (AI) that assists the Neural Network to mimic the behaviour of the human brain is important to predict significant outcomes. …”
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  11. 2431

    Real‐time recognition of human motions using multidimensional features in ultrawideband biological radar by Jinxiao Zhong, Liangnian Jin, Qiang Mao

    Published 2022-01-01
    “…A multidimensional features long short‐term memory (LSTM) neural network model is presented using multibranch network structure and high‐dimensional radar feature fusion, which can recognise motions of human in real time, even in the presence of occlusions. …”
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  12. 2432

    Type 1 and Type 2 Diabetes Measurement Using Human Face Skin Region by L. Aneesh Euprazia, A. Rajeswari, K. K. Thyagharajan, N. R. Shanker

    Published 2023-01-01
    “…The proposed multiwavelet transform convolutional neural network (MWTCNN) extracts the features for diabetic measurement from up- and downfacial scaled images of diabetic persons. …”
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  13. 2433

    Modeling of Temperature Effect on Modal Frequency of Concrete Beam Based on Field Monitoring Data by Wenchen Shan, Xianqiang Wang, Yubo Jiao

    Published 2018-01-01
    “…Three regression-based numerical models using multiple linear regression (MLR), back-propagation neural network (BPNN), and support vector regression (SVR) techniques are constructed to capture the relationships between modal frequencies and temperature distributions from measurements of a concrete beam during a period of forty days of monitoring. …”
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  14. 2434

    Crack detection based on attention mechanism with YOLOv5 by Min‐Li Lan, Dan Yang, Shuang‐Xi Zhou, Yang Ding

    Published 2025-01-01
    “…Aiming at the problems of poor real‐time performance and low precision of traditional pavement crack detection, a crack detection method based on improved YOLOv5 one‐step target detection algorithm of convolutional neural network is proposed by using the advantages of depth learning network in target detection. …”
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  15. 2435

    Evaluation of Cruise Ship Supply Logistics Service Providers with ANP-RBF by Liling Huang, Yong Tan, Xu Guan

    Published 2021-01-01
    “…We first establish an evaluation decision model for the interdependence and feedback relationship between the criteria by using analytic network process (ANP) for weight definition of each index; then, we use Super Decisions software to simulate the results, combine RBF neural network training and validation, and extract implicit knowledge and laws. …”
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  16. 2436

    Use of the Human Walking Gait Cycle for Assistive Torque Generation for the Hip Joint Exoskeleton by Riska Analia, Jan Hong, Joshua Mangkey, null Susanto, Daniel Pamungkas, Hendawan Soebhakti, Abdullah Sani

    Published 2021-01-01
    “…In this work, we classify the human gait cycle based on data from an inertial moment unit sensor and information on the angle of the hip joint and use the results as initial signals to produce a suitable assistive torque for a lower limb exoskeleton. A neural network module is used as a prediction module to identify the intention to walk based on the gait cycle. …”
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  17. 2437

    An Efficient Algorithm for Recognition of Human Actions by Yaser Daanial Khan, Nabeel Sabir Khan, Shoaib Farooq, Adnan Abid, Sher Afzal Khan, Farooq Ahmad, M. Khalid Mahmood

    Published 2014-01-01
    “…Image moments which are translation, rotation, and scale invariant are computed for a frame. A dynamic neural network is used to identify the patterns within the stream of image moments and hence recognize actions. …”
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  18. 2438

    Adaptive Fuzzy Sliding Mode Guidance Law considering Available Acceleration and Autopilot Dynamics by Yulin Wang, Shengjing Tang, Wei Shang, Jie Guo

    Published 2018-01-01
    “…Then, a fuzzy system is utilized to approximate and replace the variable structure term, which can handle the unknown target acceleration. And an adaptive neural network system is adopted to compensate the effects caused by the designed overlarge acceleration of interceptor such that the interceptor with small available acceleration can intercept the high maneuvering target. …”
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  19. 2439

    An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method by Xiaoxun Zhu, Jianhong Zhao, Dongnan Hou, Zhonghe Han

    Published 2019-01-01
    “…This study proposes a symmetrized dot pattern (SDP) characteristic information fusion-based convolutional neural network (CNN) fault diagnosis method to resolve issues of high complexity, nonlinearity, and instability in original rotor vibration signals. …”
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    Article
  20. 2440

    Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask by Jie Yang, Yachun Tang

    Published 2022-01-01
    “…Then, an improved deep neural network model is designed to effectively improve the speech enhancement performance. …”
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    Article