書目名稱Advances in Neural Networks - ISNN 2004影響因子(影響力)學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2004網(wǎng)絡(luò)公開度
書目名稱Advances in Neural Networks - ISNN 2004網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2004被引頻次
書目名稱Advances in Neural Networks - ISNN 2004被引頻次學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2004年度引用
書目名稱Advances in Neural Networks - ISNN 2004年度引用學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2004讀者反饋
書目名稱Advances in Neural Networks - ISNN 2004讀者反饋學(xué)科排名
作者: craven 時間: 2025-3-21 21:13
978-3-540-22843-1Springer-Verlag Berlin Heidelberg 2004作者: pessimism 時間: 2025-3-22 03:10
Advances in Neural Networks - ISNN 2004978-3-540-28648-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 得罪 時間: 2025-3-22 07:25
Networking Models and Standards,nt trajectories to adjust humanoid robot step length and step time based on the sensor information. Compared with GA, RBFNN use less time to generate new trajectory to deal with sudden obstacles after thorough training. The performance of the proposed method is validated by simulation of a 28 DOF humanoid robot model with ADAMS.作者: 松軟無力 時間: 2025-3-22 09:43
https://doi.org/10.1007/978-1-84628-645-2attenuate the effect of external distributes and parametric uncertainties of the robotic systems. Then a simulation example of 2-DOF robotic systems is given at last, from the simulation results, we can see the well performance of the designed observer and the estimation errors of the joint velocities are negligible.作者: anachronistic 時間: 2025-3-22 13:50 作者: 粗俗人 時間: 2025-3-22 19:36 作者: 破布 時間: 2025-3-22 23:08
Fu-Liang Yin,Jun Wang,Chengan GuoIncludes supplementary material: 作者: corn732 時間: 2025-3-23 02:09
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149140.jpg作者: geometrician 時間: 2025-3-23 06:11
Networking Models and Standards,nt trajectories to adjust humanoid robot step length and step time based on the sensor information. Compared with GA, RBFNN use less time to generate new trajectory to deal with sudden obstacles after thorough training. The performance of the proposed method is validated by simulation of a 28 DOF hu作者: Visual-Field 時間: 2025-3-23 13:11
https://doi.org/10.1007/978-1-84628-645-2ations and rotations. A set of object features is properly defined to derive an invertible nonlinear visual mapping model from visual feedback to robot control. A novel fuzzy neural network is proposed to realize the nonlinear mapping model effectively, which is essential to implement six-degree-of-作者: Longitude 時間: 2025-3-23 15:19
https://doi.org/10.1007/978-1-84628-645-2ing a rigid object. An impedance force control algorithm is derived using force decomposition, and then singular perturbation method is used to construct the composite control, where an adaptive NF inference system is employed to approximate the inverse dynamics of the space robot. Finally, an examp作者: expeditious 時間: 2025-3-23 21:31 作者: 油膏 時間: 2025-3-24 01:07
Networking Models and Standards,D control method, a reinforcement-learning (RL) module is used to automatically fine-tune the PD coefficients with only evaluative feedback. The optimization of the PD coefficients is modeled as a Markov decision problem (MDP) with continuous state space. Using an improved AHC (Adaptive Heuristic Cr作者: mortgage 時間: 2025-3-24 06:21 作者: 能得到 時間: 2025-3-24 07:48 作者: preeclampsia 時間: 2025-3-24 11:03 作者: 山羊 時間: 2025-3-24 18:17 作者: dainty 時間: 2025-3-24 22:18 作者: BACLE 時間: 2025-3-25 01:51 作者: 古文字學(xué) 時間: 2025-3-25 03:28
Wang Yuchen,Lu Jialiang,Philippe Martinsith moderate or low damping characteristics. Zeigler-Nichols(ZN) tuning methods are some of design approaches for finding PID controllers. Basilio and Matos(BM) pointed out a systematic way to design PID to meet transient performance specifications. As for the low-damping, slow-response plants, the 作者: Apraxia 時間: 2025-3-25 10:36 作者: 閹割 時間: 2025-3-25 15:21
Qingqin Xu,Zhong Li,Teng Wu,Jie Zengmeasured disturbances, the calculated control policy based on the RNN model may not be optimal when applied to the actual process. Model prediction errors from previous runs are used to improve RNN model predictions for the current run. It is proved that the modified model errors are reduced from ru作者: 碌碌之人 時間: 2025-3-25 16:49
https://doi.org/10.1007/978-3-031-34790-0A TDRNN controller for dynamic systems is proposed. A dynamic recurrent back-propagation algorithm is developed and the optimal adaptive learning rates are also proposed to guarantee the global convergence. Numeral experiments for controlling speeds of ultrasonic motors show that the TDRNN has good 作者: adj憂郁的 時間: 2025-3-25 22:16
Qingqin Xu,Zhong Li,Teng Wu,Jie Zengs minimized during training and most control action for disturbance rejection is finally performed by the rapid feedforward action of the network. The neural feedforward controller is independent of the model of plant and self-adaptive to time-variable system. The dynamic architecture of the neural 作者: Cardioplegia 時間: 2025-3-26 03:47
Yinhua Jia,Sen Wang,Jing Jin,Hang Longions. The conventional leaning controller based on CMAC can effectively reduce tracking error, but the CMAC control system can suddenly diverge after a long period of stable tracking, due to the influence of accumulative errors when tracking continuous variable signals such as sinusoidal wave. A new作者: Rct393 時間: 2025-3-26 05:13 作者: cardiopulmonary 時間: 2025-3-26 12:25 作者: bizarre 時間: 2025-3-26 14:44
Conference proceedings 2004teringand classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition 作者: 杠桿 時間: 2025-3-26 18:52
Neuro-Fuzzy Hybrid Position/Force Control for a Space Robot with Flexible Dual-Armslts than diffusive repartitioning schemes. We also demonstrate that a coarse starting mesh produces high quality load balancing, at a fraction of the cost required for a fine initial mesh. Finally, we show that the data redistribution overhead can be significantly reduced by applying our heuristic p作者: 出生 時間: 2025-3-26 21:47
Mobile Robot Path-Tracking Using an Adaptive Critic Learning PD ControllerEncouraging vehicle adoption such that 1.5 million ZEVs are driven on roads by 2025;.● Designing rates and incentives for low carbon fuels to halve petroleum use by 2030; and.● Utilizing Vehicle-Grid Integration technologies to use transportation energy as a resource that facilitates a 50 % renewabl作者: 圖表證明 時間: 2025-3-27 04:47 作者: Armada 時間: 2025-3-27 08:09
FEL-Based Adaptive Dynamic Inverse Control for Flexible Spacecraft Attitude Maneuverization of the future multi-carrier energy networks from various aspects, including energy generation, storage, and management systems. In this respect, technical and theoretical requirements are discussed from the different viewpoints for the grid modernization due to the growing trend of energy co作者: Conspiracy 時間: 2025-3-27 11:16
A Neural Network Based Method for Solving Discrete-Time Nonlinear Output Regulation Problem in Sampl with uncertain variables it can be a problem. The investment in solar energy corresponds to this case, as it is a project over 25?years with a great uncertainty on the evolution of electric prices. This is why the purpose of this chapter is to include in our financial evaluation hypothesis about ch作者: 分散 時間: 2025-3-27 17:27 作者: Aggrandize 時間: 2025-3-27 21:01 作者: 可觸知 時間: 2025-3-27 21:57
Robust Adaptive Control Using Neural Networks and Projection that optimize resource allocation in order to improve the Grid utility. We model resource allocation as an on-line strip packing problem and introduce a new mechanism that optimizes resource utilization and other QoS parameters while generating contention-free solutions. We have implemented the pro作者: Generic-Drug 時間: 2025-3-28 05:42 作者: infarct 時間: 2025-3-28 09:30
Run-to-Run Iterative Optimization Control of Batch Processes Based on Recurrent Neural Networksey make good use of parallelism and have better support for clustering (parallel execution on multiple clustered VMs is faster than on a single VM with equal resources) due to data model, read-mostly data optimizations and hypervisor-level optimizations; and (4) analysis of the architectural and sys作者: esthetician 時間: 2025-3-28 14:18 作者: 增強 時間: 2025-3-28 17:48
Feedforward-Feedback Combined Control System Based on Neural Networkformed search can compute optimal schedules for more complex task graphs. In the paper, the influence of parameters on the efficiency of the parallel implementation will be discussed and optimal schedule lengths for 1700 randomly generated task graphs are compared to the solutions of a widely used h作者: 生銹 時間: 2025-3-28 21:56 作者: 谷類 時間: 2025-3-28 23:13 作者: prostate-gland 時間: 2025-3-29 05:43 作者: 受傷 時間: 2025-3-29 10:10 作者: Androgen 時間: 2025-3-29 14:52 作者: 是剝皮 時間: 2025-3-29 19:29 作者: AER 時間: 2025-3-29 22:55 作者: ALLEY 時間: 2025-3-30 02:02 作者: 無聊的人 時間: 2025-3-30 07:34 作者: 美麗的寫 時間: 2025-3-30 11:26 作者: Nutrient 時間: 2025-3-30 13:50 作者: 抱負(fù) 時間: 2025-3-30 17:53
Qingqin Xu,Zhong Li,Teng Wu,Jie Zengf an underwater plant is used to prove the effectiveness of the scheme and the simulation shows that the dynamic performance of the oxygen control is greatly improved by this neural combined control system.作者: 舉止粗野的人 時間: 2025-3-30 23:22 作者: oxidant 時間: 2025-3-31 04:37
Xin Su,Xiaofeng Lin,Jie Zeng,Chiyang Xiaoons of a set of coupled LMIs. Applying common back propagation algorithm (BP) for networks training and interior point computation for LMI solving, some simulation results show the validity of pole placement control.作者: 籠子 時間: 2025-3-31 08:28 作者: 鉆孔 時間: 2025-3-31 11:31
https://doi.org/10.1007/978-1-84628-645-2t control. A novel fuzzy neural network is proposed to realize the nonlinear mapping model effectively, which is essential to implement six-degree-of-freedom control of robot hand. Simulation results show the performance of the proposed method.作者: 僵硬 時間: 2025-3-31 14:18
https://doi.org/10.1007/978-1-84628-645-2uct the composite control, where an adaptive NF inference system is employed to approximate the inverse dynamics of the space robot. Finally, an example is employed to illustrate the validity of the proposed control scheme.作者: 消瘦 時間: 2025-3-31 18:39 作者: Foolproof 時間: 2025-3-31 21:52
https://doi.org/10.1007/978-3-031-34790-0s are also proposed to guarantee the global convergence. Numeral experiments for controlling speeds of ultrasonic motors show that the TDRNN has good effectiveness in identification and control for dynamic systems.作者: 明確 時間: 2025-4-1 03:51 作者: 打算 時間: 2025-4-1 07:10 作者: Blanch 時間: 2025-4-1 11:19
Wang Yuchen,Lu Jialiang,Philippe MartinsBM approach also failed to find the controller. We suggest two approaches to overcome this afore-mentioned difficulty. These two approaches are approach of using approximate 2. order zeros to cancel the embedded plant poles, and GA-based fine-tuning approach.作者: Hemoptysis 時間: 2025-4-1 17:08
https://doi.org/10.1007/978-3-031-34790-0ed together to provide more accurate multi-step state predication. Based on the state predication an active fault tolerant control law is then proposed against sensor failures of nonlinear time delay systems. Simulation results on a three-tank-system show the effectiveness of the proposed fault tolerant control law.作者: WAX 時間: 2025-4-1 18:40
Neuro-Fuzzy Hybrid Position/Force Control for a Space Robot with Flexible Dual-Armsblem, we have developed PLUM, an automatic portable framework for performing adaptive largescale numerical computations in a message-passing environment. This paper presents several experimental results that verify the effectiveness of PLUM on sequences of dynamically adapted unstructured grids. We 作者: anticipate 時間: 2025-4-1 22:47 作者: Coordinate 時間: 2025-4-2 03:49 作者: HOWL 時間: 2025-4-2 08:13
