SCALING

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Universal Scaling Laws in Quantum-Probabilistic Machine Learning by Tensor Network: Toward Interpreting Representation and Generalization Powers
《Chinese Physics Letters》2024年第12期35-45,共11页Sheng-Chen Bai Shi-Ju Ran 
supported in part by the Beijing Natural Science Foundation (Grant No. 1232025);the Ministry of Education Key Laboratory of Quantum Physics and Photonic Quantum Information (Grant No. ZYGX2024K020);Academy for Multidisciplinary Studies, Capital Normal University.
The interpretation of representations and generalization powers has been a long-standing challenge in the fields of machine learning(ML)and artificial intelligence.This study contributes to understanding the emergence...
关键词：QUANTUM GENERALIZATION SCALING 
Multi-agent evaluation for energy management by practically scalingα-rank
《Frontiers of Information Technology & Electronic Engineering》2024年第7期1003-1016,共14页Yiyun SUN Senlin ZHANG Meiqin LIU Ronghao ZHENG Shanling DONG Xuguang LAN 
the National Key R&D Program of China(No.2021ZD0112700);the Zhejiang Provincial Natural Science Foundation of China(No.LZ22F030006);the Fundamental Research Funds for the Central Universities,China(No.xtr072022001)。
Currently,decarbonization has become an emerging trend in the power system arena.However,the increasing number of photovoltaic units distributed into a distribution network may result in voltage issues,providing chall...
关键词：Energy management Multi-agent deep reinforcement learning Strategy evaluation Power grid system 
Nonparametric Statistical Feature Scaling Based Quadratic Regressive Convolution Deep Neural Network for Software Fault Prediction
《Computers, Materials & Continua》2024年第3期3469-3487,共19页Sureka Sivavelu Venkatesh Palanisamy 
The development of defect prediction plays a significant role in improving software quality. Such predictions are used to identify defective modules before the testing and to minimize the time and cost. The software w...
关键词：Software defect prediction feature selection nonparametric statistical Torgerson-Gower scaling technique quadratic censored regressive convolution deep neural network softstep activation function nelder-mead method 
Decentralized output-feedback control of triangular large-scale nonlinear impulsive systems with time-varying delays:a gain scaling approach
《Science China(Information Sciences)》2023年第11期181-199,共19页Debao FAN Xianfu ZHANG Weihao PAN Hanfeng LI 
supported by National Natural Science Foundation of China(Grant Nos.61973189,62073190);Natural Science Foundation of Shandong Province of China(Grant Nos.ZR2019ZD09,ZR2020ZD25);Research Fund for the Taishan Scholar Project of Shandong Province of China(Grant No.ts20190905)。
In this study,we investigate the decentralized output-feedback control problem for a class of triangular large-scale nonlinear impulsive systems(TLSNISs)with time-varying delays.Unlike existing design approaches in im...
关键词：triangular large-scale systems nonlinear impulsive systems time-varying delay output feedback gain scaling approach 
Prediction of Suitable Crops Using Stacked Scaling Conjugant Neural Classifier
《Intelligent Automation & Soft Computing》2023年第3期3743-3755,共13页P.Nithya A.M.Kalpana 
Agriculture plays a vital role in economic development.The major pro-blem faced by the farmers are the selection of suitable crops based on environ-mental conditions such as weather,soil nutrients,etc.The farmers were...
关键词：Feature selection neural fuzzy classifier optimization crop recommendation 
MIoT Based Skin Cancer Detection Using Bregman Recurrent Deep Learning
《Computers, Materials & Continua》2022年第12期6253-6267,共15页Nithya Rekha Sivakumar Sara Abdelwahab Ghorashi Faten Khalid Karim Eatedal Alabdulkreem Amal Al-Rasheed 
This research is funded by Princess Nourah Bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R194);Princess Nourah Bint Abdulrahman University,Riyadh,Saudi Arabia.
Mobile clouds are the most common medium for aggregating,storing,and analyzing data from the medical Internet of Things(MIoT).It is employed to monitor a patient’s essential health signs for earlier disease diagnosis...
关键词：MIoT skin cancer detection recurrent deep learning classification multidimensional bregman divergencive scaling cophenetic correlative piecewise regression 
Simultaneous Localization and Mapping Solutions Using Monocular and Stereo Visual Sensors with Baseline Scaling System
《Positioning》2019年第4期51-72,共22页Akram Afifi Brendan Woo 
In this paper, SLAM systems are introduced using monocular and stereo visual sensors. The SLAM solutions are implemented in both indoor and outdoor. The SLAM samples have been taken in different modes, such as a strai...
关键词：SLAM Vision KALMAN Filter MONOCULAR STEREO 
Analysis and Design of Scaling Optimal GPM-PID Control with Application to Liquid Level Control
《International Journal of Automation and computing》2016年第6期624-633,共10页Zhuo-Yun Nie Rui-Juan Liu Fu-Jiang Jin Lai-Cheng Yan 
supported by National Natural Science Foundation of China(Nos.61403149 and 61273069);Natural Science Foundation of Fujian Province(No.2015J01261);the Scientific Research Foundation of National Huaqiao University
In this paper, a new analysis and design method for proportional-integrative-derivative （PID） tuning is proposed based on controller scaling analysis. Integral of time absolute error （ITAE） index is minimized for ...
关键词：Proportional-integrative-derivative （PID） controller controller scaling gain and phase margins integral of time absolute error （ITAE） liquid level control. 
Scaling correction approaches for reducing delocalization error in density functional approximations被引量：2
《Science China(Information Sciences)》2015年第12期1825-1844,共20页Xiao Zheng Chen Li Dadi Zhang Weitao Yang 
supported by the National Natural Science Foundation of China(21233007;21573202;21322305);the Strategic Priority Research Program(B)of the Chinese Academy of Sciences(XDB01020000);the Fundamental Research Funds for the Central Universities(2030020028);the National Science Foundation(CHE-1362927)
Delocalization error associated with the presently used density functional approximations is one of the main sources of errors which plague density functional theory calculations. In this paper, we give a comprehensiv...
关键词：density functional theory scaling correction approach exchange-correlation functional density functional approximations 
Validation methods of LAI products on the basis of scaling effect被引量：2
《遥感学报》2015年第1期134-142,共9页LIAO Yanran GAI Yingying YAO Yanjuan FAN Wenjie XU Xiru YAN Binyan 
National High Technology Research and Development Program of China(863 Program)(No.2009AA122103,2012AA12A304);National Natural Science Foundation of China(No.91025006,91325105,41271346);National Basic Research Program of China(973 Program)(No.2013CB733402)
Validation is one of the most important processes used to evaluate whether remotely sensed products can accurately reflect land surface configuration. Leaf Area Index( LAI) is a key parameter that represents vegetatio...
关键词：VALIDATION leaf area index scaling effect scaling transformation 
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