|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | S-rough sets and knowledge separation显示文摘The conceptions of the knowledge screen generated by S-rough sets are given: f- screen and - screen , and then puts forward - filter theorem, - filter theorem of knowledge. At last, the applications of knowledge separation are given according to - screen and - screen. | Shi Kaiquan 1,21. School of Mathematics and System Sciences, Liaocheng University, Liaocheng 252059, P. R. China 2. School of Mathematics and System Sciences, Shandong University, Jinan 250100, P. R. China | 2005 | Journal of Systems Engineering and Electronics2005，16，2： | 104 |
| 2 | Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC显示文摘A new meta-heuristic method is proposed to enhance current meta-heuristic methods for global optimization and test scheduling for three-dimensional(3D) stacked system-on-chip(SoC) by hybridizing grey wolf optimization with differential evolution(HGWO). Because basic grey wolf optimization(GWO) is easy to fall into stagnation when it carries out the operation of attacking prey, and differential evolution(DE) is integrated into GWO to update the previous best position of grey wolf Alpha, Beta and Delta, in order to force GWO to jump out of the stagnation with DE's strong searching ability. The proposed algorithm can accelerate the convergence speed of GWO and improve its performance.Twenty-three well-known benchmark functions and an NP hard problem of test scheduling for 3D SoC are employed to verify the performance of the proposed algorithm. Experimental results show the superior performance of the proposed algorithm for exploiting the optimum and it has advantages in terms of exploration. | Aijun Zhu Chuanpei Xu Zhi Li Jun Wu Zhenbing Liu | 2015 | Journal of Systems Engineering and Electronics2015，26，2： | 83 |
| 3 | Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multi-criteria decision making problems显示文摘Intuitionistic trapezoidal fuzzy numbers and their operational laws are defined. Based on these operational laws, some aggregation operators, including intuitionistic trapezoidal fuzzy weighted arithmetic averaging operator and weighted geometric averaging operator are proposed. Expected values, score function, and accuracy function of intuitionitsic trapezoidal fuzzy numbers are defined. Based on these, a kind of intuitionistic trapezoidal fuzzy multi-criteria decision making method is proposed. By using these aggregation operators, criteria values are aggregated and integrated intuitionistic trapezoidal fuzzy numbers of alternatives are attained. By comparing score function and accuracy function values of integrated fuzzy numbers, a ranking of the whole alternative set can be attained. An example is given to show the feasibility and availability of the method. | Wang Jianqiang Zhang Zhong | 2009 | Journal of Systems Engineering and Electronics2009，20，2： | 63 |
| 4 | Study on effectiveness evaluation of weapon systems based on grey relational analysis and TOPSIS显示文摘To evaluate the effectiveness of weapon systems, the advantages and disadvantages of grey relational analysis and TOPSIS for multiattribute decision-making is pointed out, and an effectiveness evaluation model of weapon systems by combining grey relational analysis and TOPSIS is proposed. The model aggregates the grey relational grade and the distance to a new integrated closeness and reflects not only the trend but also the situation of the alternative. The example illuminates that the model is effective for the effectiveness evaluation of weapon systems. | Gu Hui Song Bifeng | 2009 | Journal of Systems Engineering and Electronics2009，20，1： | 53 |
| 5 | Hybrid-augmented intelligence: collaboration and cognition显示文摘人工智能追求的长期目标是使机器能像人一样学习和思考。由于人类面临的许多问题具有不确定性、脆弱性和开放性,任何智能程度的机器都无法完全取代人类,这就需要将人的作用或人的认知模型引入到人工智能系统中,形成混合-增强智能的形态,这种形态是人工智能或机器智能的可行的、重要的成长模式。混合-增强智能可以分为两类基本形式:一类是人在回路的人机协同混合增强智能,另一类是将认知模型嵌入机器学习系统中,形成基于认知计算的混合智能。本文讨论人机协同的混合-增强智能的基本框架,以及基于认知计算的混合-增强智能的基本要素:直觉推理与因果模型、记忆和知识演化;特别论述了直觉推理在复杂问题求解中的作用和基本原理,以及基于记忆与推理的视觉场景理解的认知学习网络;阐述了竞争-对抗式认知学习方法,并讨论了其在自动驾驶方面的应用;最后给出混合-增强智能在相关领域的典型应用。 | Nan-ning ZHENG Zi-yi LIU Peng-ju REN Yong-qiang MA Shi-tao CHEN Si-yu YU Jian-ru XUE Ba-dong CHEN Fei-yue WANG | 2017 | Frontiers of Information Technology & Electronic Engineering2017，18，2： | 51 |
| 6 | Survey of the research on dynamic weapon-target assignment problem显示文摘The basic concepts and models of weapon-target assignment (WTA) are introduced and the mathematical nature of the WTA models is also analyzed. A systematic survey of research on WTA problem is provided. The present research on WTA is focused on models and algorithms. In the research on models of WTA, the static WTA models are mainly studied and the dynamic WTA models are not fully studied in deed. In the research on algorithms of WTA, the intelligent algorithms are often used to solve the WTA problem. The small scale of static WTA problems has been solved very well, however, the large scale of dynamic WTA problems has not been solved effectively so far. Finally, the characteristics of dynamic WTA are analyzed and directions for the future research on dynamic WTA are discussed. | Cai Huaiping Liu Jingxu Chen Yingwu Wang Hao | 2006 | Journal of Systems Engineering and Electronics2006，17，3： | 43 |
| 7 | Research on robust fault-tolerant control for networked control system with packet dropout显示文摘A kind of networked control system with network-induced delay and packet dropout, modeled on asynchronous dynamical systems was tested, and the integrity design of the networked control system with sensors failures and actuators failures was analyzed using hybrid systems technique based on the robust fault-tolerant control theory. The parametric expression of controller is given based on the feasible solution of linear matrix inequality. The simulation results are provided on the basis of detailed theoretical analysis, which further demonstrate the validity of the proposed schema. | Huo Zhihong Fang Huajing | 2007 | Journal of Systems Engineering and Electronics2007，18，1： | 50 |
| 8 | Multi-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy sets显示文摘The function of the air target threat evaluation (TE) is the foundation for weapons allocation and senor resources management within the surface air defense. The multi-attribute evaluation methodology is utilized to address the issue of the TE in which the tactic features of the detected target are treated as evaluation attributes. Meanwhile, the intuitionistic fuzzy set (IFS) is employed to deal with information uncertainty in the TE process. Furthermore, on the basis of the entropy weight and inclusion-comparison probability, a hybrid TE method is developed. In order to accommodate the demands of naturalistic decision making, the proposed method allows air defense commanders to express their intuitive opinions besides incorporating into the threat features of the detected target. An illustrative example is provided to indicate the feasibility and advantage of the proposed method. | Yongjie XU YongchunWang Xudong Miu | 2012 | Journal of Systems Engineering and Electronics2012，23，6： | 41 |
| 9 | Autonomous air combat maneuver decision using Bayesian inference and moving horizon optimization显示文摘To reach a higher level of autonomy for unmanned combat aerial vehicle(UCAV) in air combat games, this paper builds an autonomous maneuver decision system. In this system,the air combat game is regarded as a Markov process, so that the air combat situation can be effectively calculated via Bayesian inference theory. According to the situation assessment result,adaptively adjusts the weights of maneuver decision factors, which makes the objective function more reasonable and ensures the superiority situation for UCAV. As the air combat game is characterized by highly dynamic and a significant amount of uncertainty,to enhance the robustness and effectiveness of maneuver decision results, fuzzy logic is used to build the functions of four maneuver decision factors. Accuracy prediction of opponent aircraft is also essential to ensure making a good decision; therefore, a prediction model of opponent aircraft is designed based on the elementary maneuver method. Finally, the moving horizon optimization strategy is used to effectively model the whole air combat maneuver decision process. Various simulations are performed on typical scenario test and close-in dogfight, the results sufficiently demonstrate the superiority of the designed maneuver decision method. | HUANG Changqiang DONG Kangsheng HUANG Hanqiao TANG Shangqin ZHANG Zhuoran | 2018 | Journal of Systems Engineering and Electronics2018，29，1： | 49 |
| 10 | Hybrid artificial bee colony algorithm with variable neighborhood search and memory mechanism显示文摘Artificial bee colony(ABC) is one of the most popular swarm intelligence optimization algorithms which have been widely used in numerical optimization and engineering applications. However, there are still deficiencies in ABC regarding its local search ability and global search efficiency. Aiming at these deficiencies,an ABC variant named hybrid ABC(HABC) algorithm is proposed.Firstly, the variable neighborhood search factor is added to the solution search equation, which can enhance the local search ability and increase the population diversity. Secondly, inspired by the neuroscience investigation of real honeybees, the memory mechanism is put forward, which assumes the artificial bees can remember their past successful experiences and further guide the subsequent foraging behavior. The proposed memory mechanism is used to improve the global search efficiency. Finally, the results of comparison on a set of ten benchmark functions demonstrate the superiority of HABC. | FAN Chengli FU Qiang LONG Guangzheng XING Qinghua | 2018 | Journal of Systems Engineering and Electronics2018，29，2： | 49 |
| 11 | 人工智能在智能制造领域的应用研究(英文)显示文摘本文基于作者团队近年来在人工智能技术应用于制造领域的研究与实践,首先,简析了'互联网+人工智能'时代核心技术飞速发展正引发制造领域的模式、手段和生态系统的重大变革以及人工智能的新发展。接着基于人工智能技术与信息通信技术、制造技术及产品有关专业技术等融合,研究提出了智能制造新模式、新手段、新业态,智能制造系统体系架构和智能制造系统技术体系。进而,从智能制造的应用技术、产业和应用示范等角度,简述智能制造领域的国内外发展现状。最后,针对我国人工智能2.0在智能制造领域应用研究内容提出了建议。 | Bo-hu LI Bao-cun HOU Wen-tao YU Xiao-bing LU Chun-wei YANG | 2017 | Frontiers of Information Technology & Electronic Engineering2017，18，1： | 38 |
| 12 | Research on evaluations of several grey relational models adapt to grey relational axioms显示文摘Grey relational analysis is an important part of the grey systems theory, and it is the basis of the grey clustering analysis, grey decision-making and grey controlling. To research whether grey relational models satisfy the four grey relational theorems, several kinds of grey relational models are commented. Some problems including the properties of normality, pair symmetry and wholeness are discussed. The phenomenon that the lower value of almost each grey relational model is not equal to zero is proved. The contradiction problems between the properties of wholeness and pair symmetry are verified. Finally, several propositions are constructed to explain the above problems. | Xie Naiming Liu Sifeng | 2009 | Journal of Systems Engineering and Electronics2009，20，2： | 34 |
| 13 | New chaotic system and its hyperchaos generation显示文摘To seek for lower-dimensional chaotic systems that have complex topological attractor structure with simple algebraic system structure, a new chaotic system of three-dimensional autonomous ordinary differential equations is presented. The new system has simple algebraic structure, and can display a 2-scroll attractor with complex topological structure, which is different from the Lorenz's, Chen's and Lu¨'s attractors. By introducing a linear state feedback controller, the system can be controlled to generate a hyperchaotic attractor. The novel chaotic attractor, hyperchaotic attractor and dynamical behaviors of corresponding systems are further investigated by employing Lyapunov exponent spectrum, bifurcation diagram, Poincar′e mapping and phase portrait, etc., and then verified by simulating an experimental circuit. | Bao Bocheng Liu Zhong Xu Jianping | 2009 | Journal of Systems Engineering and Electronics2009，20，6： | 34 |
| 14 | Fast-moving target tracking based on mean shift and frame-difference methods显示文摘The mean shift tracker has difficulty in tracking fast moving targets and suffers from tracking error accumulation problem.To overcome the limitations of the mean shift method,a new approach is proposed by integrating the mean shift algorithm and frame-difference methods.The rough position of the moving target is first located by the direct frame-difference algorithm and three-frame-difference algorithm for the immobile camera scenes and mobile camera scenes,respectively.Then,the mean shift algorithm is used to achieve precise tracking of the target.Several tracking experiments show that the proposed method can effectively track first moving targets and overcome the tracking error accumulation problem. | Hongpeng Yin Yi Chai Simon X. Yang Xiaoyan Yang | 2011 | Journal of Systems Engineering and Electronics2011，22，4： | 31 |
| 15 | Optimization approach of background value and initial item for improving prediction precision of GM(1,1) model显示文摘A combination method of optimization of the background value and optimization of the initial item is proposed. The sequences of the unbiased exponential distribution are simulated and predicted through the optimization of the background value in grey differential equations. The principle of the new information priority in the grey system theory and the rationality of the initial item in the original GM(1,1) model are fully expressed through the improvement of the initial item in the proposed time response function. A numerical example is employed to illustrate that the proposed method is able to simulate and predict sequences of raw data with the unbiased exponential distribution and has better simulation performance and prediction precision than the original GM(1,1) model relatively. | Yuhong Wang Qin Liu Jianrong Tang Wenbin Cao Xiaozhong Li | 2014 | Journal of Systems Engineering and Electronics2014，25，1： | 32 |
| 16 | Visual interpretability for deep learning:a survey显示文摘This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable/disentangled middle-layer representations.Although deep neural networks have exhibited superior performance in various tasks,interpretability is always Achilles' heel of deep neural networks.At present,deep neural networks obtain high discrimination power at the cost of a low interpretability of their black-box representations.We believe that high model interpretability may help people break several bottlenecks of deep learning,e.g.,learning from a few annotations,learning via human–computer communications at the semantic level,and semantically debugging network representations.We focus on convolutional neural networks(CNNs),and revisit the visualization of CNN representations,methods of diagnosing representations of pre-trained CNNs,approaches for disentangling pre-trained CNN representations,learning of CNNs with disentangled representations,and middle-to-end learning based on model interpretability.Finally,we discuss prospective trends in explainable artificial intelligence. | Quan-shi ZHANG Song-chun ZHU | 2018 | Frontiers of Information Technology & Electronic Engineering2018，19，1： | 32 |
| 17 | Convolutional neural networks for time series classification显示文摘Time series classification is an important task in time series data mining, and has attracted great interests and tremendous efforts during last decades. However, it remains a challenging problem due to the nature of time series data: high dimensionality,large in data size and updating continuously. The deep learning techniques are explored to improve the performance of traditional feature-based approaches. Specifically, a novel convolutional neural network(CNN) framework is proposed for time series classification. Different from other feature-based classification approaches,CNN can discover and extract the suitable internal structure to generate deep features of the input time series automatically by using convolution and pooling operations. Two groups of experiments are conducted on simulated data sets and eight groups of experiments are conducted on real-world data sets from different application domains. The final experimental results show that the proposed method outperforms state-of-the-art methods for time series classification in terms of the classification accuracy and noise tolerance. | Bendong Zhao Huanzhang Lu Shangfeng Chen Junliang Liu Dongya Wu | 2017 | Journal of Systems Engineering and Electronics2017，28，1： | 33 |
| 18 | Joint TDOA and AOA location algorithm显示文摘For the joint time difference of arrival(TDOA) and angle of arrival(AOA) location scene,two methods are proposed based on the rectangular coordinates and the polar coordinates,respectively.The problem is solved perfectly by calculating the target position with the joint TDOA and AOA location.On the condition of rectangular coordinates,first of all,it figures out the radial range between target and reference stations,then calculates the location of the target.In the case of polar coordinates,first of all,it figures out the azimuth between target and reference stations,then figures out the radial range between target and reference stations,finally obtains the location of the target.Simultaneously,simulation analyses show that the theoretical analysis is correct,and the proposed methods also provide the application of the joint TDOA and AOA location algorithm with the theoretical basis. | Congfeng Liu Jie Yang Fengshuai Wang | 2013 | Journal of Systems Engineering and Electronics2013，24，2： | 30 |
| 19 | Hybrid optimization algorithm based on chaos,cloud and particle swarm optimization algorithm显示文摘As for the drop of particle diversity and the slow convergent speed of particle in the late evolution period when particle swarm optimization(PSO) is applied to solve high-dimensional multi-modal functions,a hybrid optimization algorithm based on the cat mapping,the cloud model and PSO is proposed.While the PSO algorithm evolves a certain of generations,this algorithm applies the cat mapping to implement global disturbance of the poorer individuals,and employs the cloud model to execute local search of the better individuals;accordingly,the obtained best individuals form a new swarm.For this new swarm,the evolution operation is maintained with the PSO algorithm,using the parameter of pop distr to balance the global and local search capacity of the algorithm,as well as,adopting the parameter of mix gen to control mixing times of the algorithm.The comparative analysis is carried out on the basis of 4 functions and other algorithms.It indicates that this algorithm shows faster convergent speed and better solving precision for solving functions particularly those high-dimensional multi-modal functions.Finally,the suggested values are proposed for parameters pop distr and mix gen applied to different dimension functions via the comparative analysis of parameters. | Mingwei Li Haigui Kang Pengfei Zhou Weichiang Hong | 2013 | Journal of Systems Engineering and Electronics2013，24，2： | 29 |
| 20 | Recent advances in efficient computation of deep convolutional neural networks显示文摘Deep neural networks have evolved remarkably over the past few years and they are currently the fundamental tools of many intelligent systems.At the same time,the computational complexity and resource consumption of these networks continue to increase.This poses a significant challenge to the deployment of such networks,especially in real-time applications or on resource-limited devices.Thus,network acceleration has become a hot topic within the deep learning community.As for hardware implementation of deep neural networks,a batch of accelerators based on a field-programmable gate array(FPGA) or an application-specific integrated circuit(ASIC)have been proposed in recent years.In this paper,we provide a comprehensive survey of recent advances in network acceleration,compression,and accelerator design from both algorithm and hardware points of view.Specifically,we provide a thorough analysis of each of the following topics:network pruning,low-rank approximation,network quantization,teacher–student networks,compact network design,and hardware accelerators.Finally,we introduce and discuss a few possible future directions. | Jian CHENG Pei-song WANG Gang LI Qing-hao HU Han-qing LU | 2018 | Frontiers of Information Technology & Electronic Engineering2018，19，1： | 29 |
您所在的机构暂未开通此部分的功能，请联系管理员