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2421
A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles
Published 2020-01-01“…This is accomplished by using a neural network-based learning control paradigm and car-following data. …”
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2422
Hybrid Optimal Kinematic Parameter Identification for an Industrial Robot Based on BPNN-PSO
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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2423
Application of Big Data Unbalanced Classification Algorithm in Credit Risk Analysis of Insurance Companies
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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2424
Exploring Coevolution of Emotional Contagion and Behavior for Microblog Sentiment Analysis: A Deep Learning Architecture
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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2425
Maize quality detection based on MConv-SwinT high-precision model.
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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2426
Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis
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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2427
Prescribed Performance Tracking Control for Nonlinear Stochastic Time-Delay Systems with Multiple Constraints
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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2428
Quantitative Nondestructive Testing of Wire Ropes Based on Features Fusion of Magnetic Image and Infrared Image
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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2429
Noise and Synchronization Analysis of the Cold-Receptor Neuronal Network Model
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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2430
Optimization of cyber security through the implementation of AI technologies
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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2431
Real‐time recognition of human motions using multidimensional features in ultrawideband biological radar
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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2432
Type 1 and Type 2 Diabetes Measurement Using Human Face Skin Region
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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2433
Modeling of Temperature Effect on Modal Frequency of Concrete Beam Based on Field Monitoring Data
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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2434
Crack detection based on attention mechanism with YOLOv5
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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2435
Evaluation of Cruise Ship Supply Logistics Service Providers with ANP-RBF
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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2436
Use of the Human Walking Gait Cycle for Assistive Torque Generation for the Hip Joint Exoskeleton
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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2437
An Efficient Algorithm for Recognition of Human Actions
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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2438
Adaptive Fuzzy Sliding Mode Guidance Law considering Available Acceleration and Autopilot Dynamics
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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2439
An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method
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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2440
Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask
Published 2022-01-01“…Then, an improved deep neural network model is designed to effectively improve the speech enhancement performance. …”
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