中国科学院机构知识库网格系统: 检索

Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文 OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 99, 期号: 99, 页码: 10
作者: Ye, Peijun; Chen, Yuanyuan; Zhu, Fenghua; Lv, Yisheng; Lu, Wanze

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收藏 | 浏览/下载：31/0 | 提交时间：2022/01/27

Calibration Computational modeling Mathematical model Machine learning Aggregates Optimization Bayes methods Agent-based model (ABM) calibration Markovian process

CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文 OAI收割
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者: Yuan, Yong; Chen, Chen; Hu, Xiyuan; Peng, Silong

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收藏 | 浏览/下载：79/0 | 提交时间：2021/03/08

entropy image classification learning (artificial intelligence) neural nets object detection optimisation quantisation (signal) network structure DNN low-bit quantization time-consuming training compressor-based fast nonuniform quantization method quantization model post-training quantization methods deep neural networks network quantization compressor-based nonuniform quantization CNQ Non-uniform quantization Knowledge distillation Unlabeled samples Network compression

Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文 OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者: Xiong, Tianyi; Pu, Zhiqiang; Yi, Jianqiang; Tao, Xinlong

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收藏 | 浏览/下载：49/0 | 提交时间：2020/07/06

neurocontrollers multi-agent systems Lyapunov methods closed loop systems nonlinear control systems time-varying systems adaptive control observers uncertain systems position control radial basis function networks robust control control system synthesis learning (artificial intelligence) minimal learning-parameter approach fixed-time CLSO time-varying formation tracking problem formation tracking control scheme multiagent systems time-varying formation tracking control problem model uncertainties velocity measurements radial basis function neural networks fixed-time cascaded leader state observer fixed-time observer-based adaptive neural network time-varying formation tracking control RBFNN-based adaptive control scheme

Synthetic aperture radar image despeckling via total generalised variation approach 期刊论文 OAI收割
IET IMAGE PROCESSING, 2015, 卷号: 9, 期号: 3, 页码: 236-248
作者: Feng, Wensen; Lei, Hong; Qiao, Hong

收藏 | 浏览/下载：25/0 | 提交时间：2015/09/21

synthetic aperture radar radar imaging image denoising speckle variational techniques piecewise constant techniques smoothing methods higher order statistics optimisation Monte Carlo methods synthetic aperture radar image despeckling total generalised variation approach speckle reduction total variation regularisation piecewise constant image smooth transition TGV-based model staircasing artefact reduction higher order smoothness numerical scheme Nesterov algorithm TGV-based optimisation problem Monte Carlo method

Stability Analysis for a Class of Systems: From Model-Based Methods to Data-Driven Methods 期刊论文 OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 卷号: 61, 期号: 11, 页码: 6463-6471
作者: Wang, Zhuo; Liu, Derong

收藏 | 浏览/下载：23/0 | 提交时间：2015/08/12

Bounded-input/bounded-state (BIBS) and bounded-input/bounded-output BIBO) stabilities continuoustime and discrete-time systems data-driven methods model-based methods stability of the equilibrium point

Image matching using a bat algorithm with mutation (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Mechatronic Systems and Automation Systems, MSAS 2012, July 21, 2012 - July 21, 2012, Wuhan, China
作者: Zhang J.; Wang G.; Zhang J.; Zhang J.

收藏 | 浏览/下载：39/0 | 提交时间：2013/03/25

Due to shortcoming of traditional image matching for computing the fitness for every pixel in the searching space a new bat algorithm with mutation (BAM) is proposed to solve image matching problem and a modification is applied to mutate between bats during the process of the new solutions updating. This new approach can accelerate the global convergence speed while preserving the strong robustness of the basic BA. The realization procedure for this improved meta-heuristic approach BAM is also presented. To prove the performance of this proposed meta-heuristic method BAM is compared with BA and other population-based optimization methods DE and SGA. The experiment shows that the proposed approach is more effective and feasible in image matching than the other model. (2012) Trans Tech Publications Switzerland.

Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者: Wang X.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

Using of SIFT algorithm in the image of teeth model can detect the features of the teeth image effectively. In this approach first search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third assign one or more orientations to each keypoint location based on local image gradient directions. Last measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods this method can detect the features of the teeth model effectively and offer some available parameters for 3D reconstruction of the teeth model. the authors.

Analyse the angular velocity estimation errors of -- filter based on high sampling rate (EI CONFERENCE) 会议论文 OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者: Zhang Y.

收藏 | 浏览/下载：31/0 | 提交时间：2013/03/25

In order to get angular velocity of stabilization servo mechanism from angular position sensors -- filter based on high sampling rate was established model and error characteristics were analyzed. With the hypothesis of constant acceleration -- filter and its angular velocity transfer function were deduced. Combing with optimum parameters the effects of and sample rate on the error characteristics were evaluated. According to the requirements of stabilization servo mechanism the frequency characteristics of angular velocity transfer function are analyzed and the filter parameters are designed. The experimental which filter tracked and smoothed sinusoidal signal the results show that when the cutoff frequency of angular velocity loop is 44.9rad/s sampling period and parameters are 0.08ms and 0.01279 respectively the phase leading of angular position is 70. -- filter tracked sinusoidal signals with maximum angular velocity(30/s) and maximum angular acceleration(30/s2) the error of angular velocity estimation was 0.053/s. In the engineering of electro-optical stabilization servo mechanism -- filter can reduce noise effectively and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.

Study of the neural network constitutive models for turfy soil with different decomposition degree (EI CONFERENCE) 会议论文 OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者: Nie L.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

The turfy soil is of a special humus soil. The decomposition degree is the main factor on the physical and mechanical properties of turfy soil. To build the turfy soil constitutive model there are a few shortages such as the calculation cumbersome and low accuracy for parameter value with the method of traditional models. Furthermore those methods did not reflect the influence of strength that effected by decomposition degree of the turfy soil. In this paper the relationship of stress-strain with different decomposition degrees of turfy soil was carried out through indoor tests. Based on above experimental results an improved method which divided into different zones according to different decomposition degrees of turfy soil and calculated combining with neural network constitutive model is put forward. The result shows that the neural network of turfy soil has good fitting precision and good generalization ability. It can fully describe the influence of the turfy soil. 2011 IEEE.

Study of experimental design and Response Surface method for surrogate model of computational simulation (EI CONFERENCE) 会议论文 OAI收割
2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China
Xi R.; Jia H.; Xiao Q.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

While the high-precision simulation is widely used in science and technology Design of Experiment (DOE) based on Response Surface (RS) method can be employed in surrogate model to reduce the cost and error. In order to illustrate the relationship between parameters and response features several DOE methods and Response Surface (RS) method are studied. The author used polynomial regression and RBF neural network based on orthogonal array to build a rocket aerodynamic discipline surrogate model respectively which proved their feasibility. From the results of the test case conclusion is drawn that characteristic as well as acclimatization of DOE methods and different approximation should be considered for different issues so the factors of cost and accuracy could reach a balance synthetically. 2011 IEEE.