NEURAL_NETWORK

作品数：1883被引量：3427H指数：17
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Multi-view based neural network for semantic segmentation on 3D scenes被引量：4
《Science China(Information Sciences)》2019年第12期216-218,共3页Yonghua LU Mingmin ZHEN Tian FANG 
supported by GRF(Grant No.16203518);Hong Kong RGC(Grant Nos.16208614,T22-603/15N);Hong Kong ITC(Grant No.PSKL12EG02);National Basic Research Program of China(973 Program)(Grant No.2012CB316300)
Dear editor,For semantic segmentation tasks,convolutional neural net work(CNN)based methods have been prevalent for both 2D image semantic segmentation and 3D semantic segmentation.Though traditional methods often use...
关键词：NEURAL Basic EDITOR 
Encoding syntactic representations with a neural network for sentiment collocation extraction被引量：7
《Science China(Information Sciences)》2017年第11期3-14,共12页Yanyan ZHAO Bing QIN Ting LIU 
supported by National Basic Research Program of China (973 Program) (Grant No. 2014CB340506);National Natural Science Foundation of China (Grant Nos. 61632011, 61370164)
Sentiment collocation refers to the collocation of a target word and a polarity word. Sentiment collocation extraction aims to extract the targets and their modifying polarity words by analyzing the relation- ships be...
关键词：sentiment collocation extraction sentiment analysis syntactic representation neural network re-cursive neural network （RNN） convolutional neural network （CNN） 
A Novel Simple Visual Tracking Algorithm Based on Hashing and Deep Learning被引量：15
《Chinese Journal of Electronics》2017年第5期1073-1078,共6页ZHU Suguo DU Junping REN Nan 
supported by the National Basic Research Program of China(973 Program)(No.2012CB821200,No.2012CB821206);the National Natural Science Foundation of China(No.61320106006,No.61532006,No.61502042)
Deep network has been proven efficient and robust to capture object features in some conditions.It still remains in the stage of classifying or detecting objects.In the field of visual tracking,deep network has not be...
关键词：Visual tracking Image perceptual hashing Deep learning Neural network 
Correcting the systematic error of the density functional theory calculation:the alternate combination approach of genetic algorithm and neural network被引量：1
《Chinese Physics B》2010年第7期437-444,共8页王婷婷 李文龙 陈章辉 缪灵 
supported by the National Basic Research Program of China (973 Program) (Grant No. G2009CB929300);the National Natural Science Foundation of China (Grant No. 60521001 and 60925016)
The alternate combinational approach of genetic algorithm and neural network （AGANN） has been presented to correct the systematic error of the density functional theory （DFT） calculation. It treats the DFT as a bl...
关键词：density functional theory neural network genetic algorithm alternate combination 
Neural network based method for compensating model error被引量：2
《Journal of Southeast University(English Edition)》2009年第3期400-403,共4页胡伍生 孙璐 
The National Basic Research Program of China(973 Program)(No.2006CB705501);the National High Technology Research and Development Program of China (863 Program)(No.2007AA12Z228)
Two traditional methods for compensating function model errors, the method of adding systematic parameters and the least-squares collection method, are introduced. A proposed method based on a BP neural network （call...
关键词：model error neural network BP algorithm compen- sating 
Motion Classification of EMG Signals Based on Wavelet Packet Transform and LS-SVMs Ensemble被引量：3
《Transactions of Tianjin University》2009年第4期300-307,共8页颜志国 尤晓明 陈嘉敏 叶小华 
Supported by the National Basic Research Program("973"Program, No2005CB724303 )
This paper presents an effective method for motion classification using the surface electromyographic (sEMG) signal collected from the forearm. Given the nonlinear and time-varying nature of EMG signal, the wavelet pa...
关键词：pattern recognition wavelet packet transform least squares support vector machine surface electromyographic signal neural network SEPARABILITY 
Neural-network-based two-loop control of robotic manipulators including actuator dynamics in task space被引量：3
《控制理论与应用（英文版）》2009年第2期112-118,共7页Liangyong WANG Tianyou CHAI Zheng FANG 
supported by the National Basic Research Program of China (973 Program) (No.2009CB320601);National Natural Science Foundationof China (No.60534010);the Funds for Creative Research Groups of China (No.60521003);the 111 Project (No.B08015)
A neural-network-based motion controller in task space is presented in this paper. The proposed controller is addressed as a two-loop cascade control scheme. The outer loop is given by kinematic control in the task sp...
关键词：Robotic manipulator Motion control Neural network Task space 
Dynamics Modeling and Robust Trajectory Tracking Control for a Class of Hybrid Humanoid Arm Based on Neural Network被引量：4
《Chinese Journal of Mechanical Engineering》2009年第3期355-363,共9页WANG Yueling JIN Zhenlin 
supported by National Basic Research and Development Program of China (973 Program, Grant No. 2006CB705402)
In order to solve the problem of trajectory tracking for a class of novel serial-parallel hybrid humanoid arm（HHA）, which has parameters uncertainty, frictions, disturbance, abrasion and pulse forces derived from mo...
关键词：hybrid humanoid arm dynamic modeling neural network adaptive control trajectory tracking 
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