標(biāo)題: Titlebook: Advances in Neural Networks - ISNN 2007; 4th International Sy Derong Liu,Shumin Fei,Changyin Sun Conference proceedings 2007 Springer-Verla [打印本頁] 作者: 推翻 時間: 2025-3-21 19:59
書目名稱Advances in Neural Networks - ISNN 2007影響因子(影響力)
書目名稱Advances in Neural Networks - ISNN 2007影響因子(影響力)學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2007網(wǎng)絡(luò)公開度
書目名稱Advances in Neural Networks - ISNN 2007網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2007被引頻次
書目名稱Advances in Neural Networks - ISNN 2007被引頻次學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2007年度引用
書目名稱Advances in Neural Networks - ISNN 2007年度引用學(xué)科排名
書目名稱Advances in Neural Networks - ISNN 2007讀者反饋
書目名稱Advances in Neural Networks - ISNN 2007讀者反饋學(xué)科排名
作者: GAVEL 時間: 2025-3-21 23:20 作者: Spirometry 時間: 2025-3-22 01:37
https://doi.org/10.1007/978-3-030-82461-7ure. The fuzzy-neural networks are utilized to approximate the virtual controllers, and by using backstepping technique, the direct adaptive FNN control scheme is developed. The proposed control method guarantees the closed-loop signals to be semiglobally uniformly ultimately bounded.作者: tenuous 時間: 2025-3-22 07:16 作者: PET-scan 時間: 2025-3-22 11:39 作者: outskirts 時間: 2025-3-22 15:49
https://doi.org/10.1007/978-3-540-72383-7Chaos; algorithm; algorithms; communication; data mining; fuzzy; fuzzy system; fuzzy systems; learning; model作者: STALE 時間: 2025-3-22 20:58 作者: Priapism 時間: 2025-3-22 21:14
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149155.jpg作者: ETHER 時間: 2025-3-23 03:56 作者: 容易生皺紋 時間: 2025-3-23 06:46
https://doi.org/10.1007/978-3-030-82461-7tructed to control the speed of ultrasonic motors. A dynamic algorithm with adaptive learning rate is used to train FNNC online. The global convergence of the FNNC systems could be guaranteed by adjusting the adaptive learning rate. The validity of the proposed scheme is examined by simulated experi作者: Gene408 時間: 2025-3-23 09:47 作者: 小畫像 時間: 2025-3-23 17:09
https://doi.org/10.1057/9781137555694 Fuzzy Connection Admission Controller (NFCAC) was proposed in this paper. NFCAC has been successfully applied in the control-related problems of neural networks. However, there is no discussion about the power control game algorithm and location recognition based on NFCAC in cellular Ad Hoc network作者: 重疊 時間: 2025-3-23 20:28
Policies for Higher Education Institutions,ain dryers. In this scheme, there are two RFNNs and two PI controllers. One RFNN with feedforeward and feedback connections of grain layer history position states predicts outlet moisture content (MPRFNN), and the other predicts the discharge rate of the dryer (RPRFNN). One PI controller adjusts the作者: neuron 時間: 2025-3-24 00:42 作者: 百科全書 時間: 2025-3-24 02:45
John S. Levin,Virginia Montero-Hernandez observers to estimate time derivatives of the system outputs. The weighting parameters of the fuzzy-neural controller are tuned on-line via a genetic algorithm (GA). For the purpose of on-line tuning the weighting parameters of the fuzzy-neural controller, a Lyapunov-based fitness function of the G作者: trigger 時間: 2025-3-24 08:59 作者: needle 時間: 2025-3-24 12:26
Juliet Lilledahl Scherer,Mirra Leigh Ansonthe system. In this paper, neural network based multiple model adaptive predictive control method is proposed to solve this problem. The whole control system is composed of predictive controller and decision controller. First of all, neural network model set of any possible environment is built up, 作者: 疾馳 時間: 2025-3-24 18:49
Juliet Lilledahl Scherer,Mirra Leigh Ansons the construction of its skeletal and muscular components, a dynamic model for flapping wing is developed. As the model is highly nonlinear and coupled with unmeasurable disturbances and uncertainties, traditional strategies are not applicable for flapping wing motion control. A new approach called作者: parasite 時間: 2025-3-24 22:53
Lecture Notes in Computer Scienceand bounded perturbations. The uncertainty is assumed to be unknown continuous function without norm-bounded restriction. The perturbation is sector-bounded. Combined with liner matrix inequality method, neural networks and adaptive control, the control scheme ensures the stability of the close-loop作者: 幻影 時間: 2025-3-25 01:49
Takao Terano,Setsuya Kurahashi,Ushio Minami Considering the nonlinearity of the system, when the set-point value is time variant, a controller based on a fixed structure RBFNN can not give a good control performance. A switching controller which switches among different controller based on different RBFNN is used to adapt the varing set-poin作者: bizarre 時間: 2025-3-25 06:18
Social Media and Social Computing,models. The objective is to control the conditional PDF of the system output to follow a given target function by using dynamic neural network models. B-spline neural networks are used to model the dynamic output probability density functions (PDFs), then the concerned problem is transferred into th作者: PON 時間: 2025-3-25 09:24
Elena Zheleva,Evimaria Terzi,Lise Getoorle neural networks (SNN). The SNN is uniquely determined by the design of the global integral sliding mode surface, the output of which replaces the corrective control, and FNN is applied to mimic the equivalent control. In this scheme, the bounds of the uncertainties and the extern disturbance are 作者: Suppository 時間: 2025-3-25 14:20
Elena Zheleva,Evimaria Terzi,Lise Getoor basis function(RBF) neural network. The system uncertainty is approximated by RBF neural networks, and a parameter update law is presented for approximating the system uncertainty. In each step, the control scheme is derived in terms of linear matrix inequalities (LMI’s). A robust adaptive controll作者: Encephalitis 時間: 2025-3-25 15:58
Elena Zheleva,Evimaria Terzi,Lise Getoortomotive engines. The sliding mode control (SMC) structure is used and a new sliding surface is developed in the paper. The RBF network adaptation and the control law are derived using the Lyapunov method so that the entire system stability and the network convergence are guaranteed. The developed m作者: judicial 時間: 2025-3-26 00:01
Elena Zheleva,Evimaria Terzi,Lise Getoorel with same fuzzy sets is established. To make the states of the closed-loop system follow those of the reference model, a controller including of neuro-fuzzy adaptive and linear feedback term is designed. The linear feedback parameters can be solved by LMI approach. Adaptive term is used to compen作者: Texture 時間: 2025-3-26 03:13
Michael J. Zakour,David F. Gillespie algorithm of FNN can adjust not only the connection weights but also the sigmoid function parameters. This makes FNN characterized with online learning and high learning speed. The FNN has the following advantages when applied to temperature control problems: high learning ability, which considerab作者: 明智的人 時間: 2025-3-26 05:55 作者: magnate 時間: 2025-3-26 09:31
Direct Adaptive Fuzzy-Neural Control for MIMO Nonlinear Systems Via BacksteppingOverview: 作者: coltish 時間: 2025-3-26 14:45
A Novel Cross Layer Power Control Game Algorithm Based on Neural Fuzzy Connection Admission ControllOverview: 作者: EVICT 時間: 2025-3-26 18:41 作者: prodrome 時間: 2025-3-26 23:09 作者: 變形詞 時間: 2025-3-27 03:11 作者: Hyperlipidemia 時間: 2025-3-27 05:37 作者: integrated 時間: 2025-3-27 10:52
Adaptive Global Integral Neuro-sliding Mode Control for a Class of Nonlinear SystemOverview: 作者: 磨坊 時間: 2025-3-27 13:42 作者: 無畏 時間: 2025-3-27 21:22
Front Matterpresent scenarios that motivated its development, and its design and implementation as a service of an Augmented Classroom. Additionally, results from a 3-month preliminary trial showed that InClass-RTD allowed the participation of 80% of the group, with an average of 8 spontaneous participations pe作者: 盲信者 時間: 2025-3-28 01:55 作者: 半身雕像 時間: 2025-3-28 02:05
Adaptive Neuro-Fuzzy Inference System Based Autonomous Flight Control of Unmanned Air Vehiclesosystem, which is sometimes referred as “the two cultures”, how a separation of the scientific and humanities communities creates a gap in understanding across all society, which naturally includes the business world. In this chapter, we will go deeper into the most common challenges, and following 作者: Allege 時間: 2025-3-28 06:51 作者: 密碼 時間: 2025-3-28 11:13 作者: ARM 時間: 2025-3-28 14:35
Neural Network Based Multiple Model Adaptive Predictive Control for Teleoperation System015 the housing estate surrounding Dickens Orchard included the most deprived area in the city and the 254th most deprived area in the England, placing this area inside the bottom 1% nationally. The findings of this case indicate that forming constructive state-civil society partnerships is importan作者: Detonate 時間: 2025-3-28 21:19 作者: 落葉劑 時間: 2025-3-29 02:02
Switching Set-Point Control of Nonlinear System Based on RBF Neural Networkpart of a separate sphere of ‘society’ or ‘culture’ which we construct (by means of language as a tool, not something in which we dwell), pass on (as DNA is passed on — a ‘genealogical’ view) and appropriate (make it one’s property — again a property-based view). With Ingold, we can say that we do n作者: V洗浴 時間: 2025-3-29 05:53 作者: largesse 時間: 2025-3-29 11:09
Neuro-fuzzy Adaptive Control of Nonlinear Singularly Perturbed Systems and Its Application to a Spacfessionals, that young gay and lesbian persons have to negotiate with, in their process of growing up. These institutions and their actors—including parents, teachers, school authorities, friends, doctors—perform a range of ‘.’ to reshape and mould sexual or gender transgressions of the young LG per作者: 意見一致 時間: 2025-3-29 13:28 作者: CRUE 時間: 2025-3-29 19:32 作者: 變形詞 時間: 2025-3-29 20:33 作者: Chameleon 時間: 2025-3-30 03:36
Takao Terano,Setsuya Kurahashi,Ushio Minamiod control performance. A switching controller which switches among different controller based on different RBFNN is used to adapt the varing set-point value and improve the output reponse and control performance of the nonlinear system.作者: forebear 時間: 2025-3-30 05:52
Elena Zheleva,Evimaria Terzi,Lise Getoororrective control, and FNN is applied to mimic the equivalent control. In this scheme, the bounds of the uncertainties and the extern disturbance are not required to be known in advance, and the stability of systems is analyzed based on Lyapunov function. Simulation results are given to demonstrate the effectiveness of this scheme.作者: 發(fā)起 時間: 2025-3-30 08:47 作者: addict 時間: 2025-3-30 12:45
Elena Zheleva,Evimaria Terzi,Lise Getoor the control law are derived using the Lyapunov method so that the entire system stability and the network convergence are guaranteed. The developed method is evaluated by computer simulation using the well-known mean value engine model (MVEM) and the effectiveness of the method is proved.作者: 全部 時間: 2025-3-30 19:21
https://doi.org/10.1057/9781137555694f each node can all be optimized due to the minimum link occupation with the help of the algorithm. Simulation results show that the novel algorithm can give more power control guarantee to cellular Ad Hoc networks in the variable node loads and transmitting powers, and make the node more stable to support multi-hops at the same time.作者: kyphoplasty 時間: 2025-3-30 20:51
John S. Levin,Virginia Montero-Hernandezme guarantees that all signals involved are bounded and the outputs of the closed-loop system track the desired output trajectories. Finally, simulation results are provided to demonstrate robustness and applicability of the proposed method.作者: harrow 時間: 2025-3-31 01:01
Juliet Lilledahl Scherer,Mirra Leigh Ansonwitch among all predictive controllers according to performance target. This method can ensure stability and performance of the system. Finally, simulation results show effectiveness of the proposed method.作者: 誰在削木頭 時間: 2025-3-31 08:36
Juliet Lilledahl Scherer,Mirra Leigh Ansontem behavior to improve its performance during system operation. Furthermore, much less information about the system dynamics is needed in construction such a control scheme as compared with traditional NN based methods. Both theoretical analysis and computer simulation verify its effectiveness.作者: fructose 時間: 2025-3-31 11:18 作者: Freeze 時間: 2025-3-31 14:00
Michael J. Zakour,David F. Gillespie. These advantages are verified by its application to a practical temperature controlled box, which is used in medicinal inspection. The proposed system presents better behavior than that when using traditional back-propagation neural network.作者: 大漩渦 時間: 2025-3-31 18:11
https://doi.org/10.1007/978-1-4614-5737-4controller and configuration of an adaptive neural network controller. Then give some simulation figures to illustrate defect for the new controller. Finally we will develop a hybrid neural network to solve the problem and improve the accuracy as well as reduce the cost to the least in the practical application.作者: 過時 時間: 2025-3-31 22:08 作者: 魔鬼在游行 時間: 2025-4-1 04:46
https://doi.org/10.1057/978-1-137-48020-0roposed to increase the convergence, which combines the genetic algorithm (GA), back-propagation (BP), and particle swarm optimization (PSO). Several simulation results are proposed to show the effectiveness of TRFNN system and GA_BPPSO algorithm.作者: Cardiac-Output 時間: 2025-4-1 08:33
John S. Levin,Virginia Montero-Hernandezast to previous work on ANC using computational intelligence approaches which concentrate on single channel and off-line adaptation, this research addresses multichannel and employs online adaptation, which is feasible due to the computing power of the DSP.作者: 誹謗 時間: 2025-4-1 10:31 作者: 脊椎動物 時間: 2025-4-1 16:49 作者: 叢林 時間: 2025-4-1 19:14 作者: 膠狀 時間: 2025-4-2 01:28
Adaptive Neuro-Fuzzy Inference System Based Autonomous Flight Control of Unmanned Air Vehiclesal but also some of the important risks of AI, and then drilling down on First Principles and potential challenges to implement AI. One of the main objectives of the book is to help people from all types of enterprises to be successful with their AI initiatives. You might have probably noticed I hav
