| Description |
1 online resource (595 p.) |
| Series |
Communications in Computer and Information Science ; v.1869 |
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Communications in computer and information science ; 1869.
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| Contents |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Neural Network (NN) Theory, NN-Based Control Systems, Neuro-System Integration and Engineering Applications -- ESN-Based Control of Bending Pneumatic Muscle with Asymmetric and Rate-Dependent Hysteresis -- 1 Introduction -- 2 The FSBPM -- 2.1 Structure of the FSBPM -- 2.2 The Asymmetric Rate-Dependent Hysteresis of the FSBPM -- 2.3 Mathematical Description of the FSBPM -- 3 Feedback Control Strategy Combined with the Feedforward Compensation -- 3.1 Inversion of the Hysteresis Based on ESN |
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3.2 Feedback Control Strategy Based on Feedforward Compensation -- 4 Experiments -- 4.1 Experimental Platform -- 4.2 Feedback Control Experiments -- 5 Conclusions -- References -- Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex -- 1 Introduction -- 2 Methods -- 2.1 MT Optical Flow Stimulation -- 2.2 Image Reconstruction Using NMF Algorithm -- 2.3 Image Reconstruction Using the SNN Model -- 3 Results -- 4 Conclusion -- 4.1 Summary -- 4.2 Outlook -- References |
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Conditional Diffusion Model-Based Data Augmentation for Alzheimer's Prediction -- 1 Introduction -- 2 Method -- 2.1 Overview -- 2.2 Diffusion Probabilistic Model -- 2.3 Conditional DDPM -- 3 Experiments -- 3.1 Dataset and Experiment Design -- 3.2 Evaluation of Generated Data -- 3.3 Evaluation with Compared Methods -- 4 Conclusion -- References -- Design of Dissolved Oxygen Online Controller Based on Adaptive Dynamic Programming Theory -- 1 Introduction -- 2 Preliminary Knowledge -- 2.1 Optimal Problem Formulation -- 2.2 Online ESN-ADP Algorithm -- 2.3 FRRLS Algorithm for Training ESN-ADP |
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3 Convergence of ESN-Based Value Function Approximation -- 3.1 Convergence of ESN-Based Value Function Approximation -- 4 Experiment and Discussion -- 5 Conclusion -- References -- Ascent Guidance for Airbreathing Hypersonic Vehicle Based on Deep Neural Network and Pseudo-spectral Method -- 1 Introduction -- 2 Dynamic Modeling -- 3 Guidance Law Design -- 3.1 Offline Trajectory Database Establishment -- 3.2 DNN Structure and Training -- 3.3 The Sequential Calling Strategy and the Overall Scheme -- 4 Numerical Simulations -- 4.1 The Database Establishment -- 4.2 Real-Time Performance |
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4.3 Comparison of Different Numbers of the DNNs -- 5 Conclusion -- References -- Machine Learning and Deep Learning for Data Mining and Data-Driven Applications -- Image Intelligence-Assisted Time-Series Analysis Method for Identifying "Dispersed, Disordered, and Polluting" Sites Based on Power Consumption Data -- 1 Introduction -- 2 Preliminary -- 2.1 Clustering Algorithm -- 2.2 Gramian Angular Field -- 3 Algorithm Procedure -- 3.1 H-K-means -- 3.2 Imaging Time Series -- 3.3 Mutual Information -- 3.4 Perceptual Hash Algorithm -- 4 Practical Validation -- 4.1 Background -- 4.2 Implementation |
| Summary |
The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023. The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics |
| Notes |
4.3 Results |
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Includes author index |
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Description based on online resource; title from digital title page (viewed on October 17, 2023) |
| Subject |
Neural computers -- Congresses
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Neural computers.
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings.
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Zhang, Haijun (Professor of computer science)
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Ke, Yinggen
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Wu, Zhou (Researcher on optimization and artificial intelligence)
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Hao, Tianyong.
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Zhang, Zhao (Computer scientist)
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Meng, Weizhi
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Mu, Yuanyuan
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| ISBN |
9789819958443 |
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981995844X |
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