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NEURAL_NETWORK: 作品数：1883被引量：3427H指数：17; 导出分析报告; 相关作者：陈月辉周双全赵达尊胡伍生马玉书更多>>; 相关机构：东南大学南京航空航天大学华中师范大学电子科技大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划国家高技术研究发展计划更多>>

Accelerating constraint-based neural network repairs by example prioritization and selection: 《Frontiers of Computer Science》2025年第4期125-127,共3页Long ZHANG Shuo SUN Jun YAN Jian ZHANG Jiangzhao WU Jian LIU; supported by the National Natural Science Foundation of China(Grant No.62132020);the Major Project of ISCAS(ISCAS-ZD-202302).; 1 Introduction Compared with retraining,fine-tuning,and other traditional approaches,neural network repair approaches[1-7]can significantly improve the robustness of neural networks with lower time and computing cost....; 关键词：REPAIRS constraint based parameter matrix neural networks repair techniques repaired neural network accelerating neural network

Real-Time Proportional-Integral-Derivative(PID)Tuning Based on Back Propagation(BP)Neural Network for Intelligent Vehicle Motion Control: 《Computers, Materials & Continua》2025年第5期2375-2401,共27页Liang Zhou Qiyao Hu Xianlin Peng Qianlong Liu; supported by the National Key Research and Development Program of China(No.2023YFF0715103)-financial support;National Natural Science Foundation of China(Grant Nos.62306237 and 62006191)-financial support;Key Research and Development Program of Shaanxi(Nos.2024GX-YBXM-149 and 2021ZDLGY15-04)-financial support,NorthwestUniversity Graduate Innovation Project(No.CX2023194)-financial support;Natural Science Foundation of Shaanxi(No.2023-JC-QN-0750)-financial support.; Over 1.3 million people die annually in traffic accidents,and this tragic fact highlights the urgent need to enhance the intelligence of traffic safety and control systems.In modern industrial and technological applic...; 关键词：PID control backpropagation neural network hybrid control nonlinear dynamic processes edge intelligence

Leveraging Bayesian methods for addressing multi-uncertainty in data-driven seismic liquefaction assessment: 《Journal of Rock Mechanics and Geotechnical Engineering》2025年第4期2474-2491,共18页Zhihui Wang Roberto Cudmani Andrés Alfonso Peña Olarte Chaozhe Zhang Pan Zhou; When assessing seismic liquefaction potential with data-driven models,addressing the uncertainties of establishing models,interpreting cone penetration tests(CPT)data and decision threshold is crucial for avoiding bia...; 关键词：Data-driven method Bayes analysis Seismic liquefaction UNCERTAINTY Neural network

Global Diabatic Potential Energy Surfaces for the Two Lowest States of Li_(3): 《Chinese Journal of Chemical Physics》2025年第2期172-180,I0039,共10页Yingyue Hong Jiayu Huang Dong H.Zhang; supported by the National Natural Science Foundation of China(Nos.22103084 and 22233003 to Jiayu Huang,and No.22288201 to Dong H.Zhang);the Innovation Program for Quantum Science and Technology(No.2021ZD0303305)to Dong H.Zhang;the Dalian Innovation Support Program(No.2021RD05)to Dong H.Zhang.; We constructed a new set of diabatic poten-tial energy surfaces(PESs)for the two low-est states involved in Li+Li_(2)reaction by us-ing the fundamental-invariant neural net-work method.The Li_(3)system exhibits a coni...; 关键词：Diabatic potential energy matrix Conical intersection Fundamental invariant neural network Non-adiabatic effect

A Transformer Condition Assessment Method Based on Combined Deep Neural Network: 《CSEE Journal of Power and Energy Systems》2025年第2期861-870,共10页Hongru Zhang Fuqiang Ren Jingjing Yang Zhaoyang Kang Qingquan Li Hongshun Liu; supported by the Science and Technology Project from Headquarters of State Grid Corporation of China(No.52060020002P)。; Dissolved gas analysis (DGA) occupies an extremely important position in transformer condition assessment, and many conventional methods have been proposed based on dissolved gas in oil analysis. In this paper, a comb...; 关键词：Combined deep neural network(CDNN) data normalization dissolved gas analysis(DGA) transformer condition assessment

Wake field prediction of a wind farm based on a physics-informed neural network with different spatiotemporal prediction performance improvement strategies: 《Theoretical & Applied Mechanics Letters》2025年第2期141-153,共13页Junyong Song Lei Wang Zhiqiang Xin Hao Wang; supported by the National Natural Science Foundation of China(Grant Nos.12072105,11932006,and 52308498);the Natural Science Foundation of Jiangsu Province,China(Grant No.BK20220976).; Dynamic wake field information is vital for the optimized design and control of wind farms.Combined with sparse measurement data from light detection and ranging(LiDAR),the physics-informed neural network(PINN)framewo...; 关键词：Dynamic wake prediction LiDAR measurements Physics-informed neural network Accuracy improvement strategy Step-by-step time saving strategy

A leap forward in compute-in-memory system for neural network inference: 《Journal of Semiconductors》2025年第4期5-7,共3页Liang Chu Wenjun Li; Developing efficient neural network(NN)computing systems is crucial in the era of artificial intelligence(AI).Traditional von Neumann architectures have both the issues of"memory wall"and"power wall",limiting the data...; 关键词：neural network von neumann architectures compute memory INFERENCE MEMRISTOR artificial intelligence ai traditional memristor crossbarsare analogue cim

Photovoltaic Power Prediction Cosidering Mode Switching and Parallel Weight Adjustment: 《Energy Engineering》2025年第4期1387-1402,共16页Penghui Liu Tianyu Yang Peng Zhang Peiyuan Zou; This work was supported in part by the Natural Science Foundation of Henan Province,and the specific grant number is 232300420301;the initial of author is P.L.,the URL to the sponsors’websites is https://kjt.henan.gov.cn/(accessed on 09 February 2025);And this work was also supported in part by the Fundamental Research Funds for the Universities of Henan Province,and the specific grant number is NSFRF220425,the initial of author is P.L.,the URL to sponsors websites is http://app.hnkjt.gov.cn/web/index.do(accessed on 09 February 2025).; The photovoltaic(PV)output process is inherently complex,often disrupted by a multitude of meteoro-logical factors,while conventional detection methods at PV power stations prove inadequate,compromising prediction acc...; 关键词：Ultra short-term power prediction mode switching weight factor adjustment parallel neural network

Integrating Attention Mechanisms in YOLOv8 for Improved Fall Detection Performance: 《Computers, Materials & Continua》2025年第4期1117-1147,共31页Nizar Zaghden Emad Ibrahim Mukaram Safaldin Mahmoud Mejdoub; The increasing elderly population has heightened the need for accurate and reliable fall detection systems,as falls can lead to severe health complications.Existing systems often suffer from high false positive and fa...; 关键词：DiverseFALL10500 CAUCAFall faster region-based conventional neural network(Faster RCNN)

A Survey of the Application of Neural Networks to Event Extraction: 《Tsinghua Science and Technology》2025年第2期748-768,共21页Jianye Xie Yulan Zhang Huaizhen Kou Xiaoran Zhao Zhikang Feng Lekang Song Weiyi Zhong; Event extraction is an important part of natural language information extraction,and it’s widely employed in other natural language processing tasks including question answering and machine reading comprehension.Howe...; 关键词：event extraction natural language processing event extraction methods graph neural network prompt-based learning

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