Revisão bibliográfica redes neurais recorrentes



Download 406.67 Kb.
Page5/10
Date17.05.2017
Size406.67 Kb.
#18493
1   2   3   4   5   6   7   8   9   10




56-Global exponential stability of recurrent neural networks for solving

optimization and related problems

Youshen Xia; Jun Wang

Neural Networks, IEEE Transactions on , Volume: 11 Issue: 4 , July 2000

Page(s): 1017 –1022

Palavras-chave: asymptotic stability, stability, dynamical systems, optimization






57-New results on recurrent network training: unifying the algorithms and accelerating convergence

Atiya, A.F.; Parlos, A.G.

Neural Networks, IEEE Transactions on , Volume: 11 Issue: 3 , May 2000

Page(s): 697 –709

Palavras-chave: training, error function gradient, online weight updating, alg. unification





58-On the choice of parameters of the cost function in nested modular RNN's

Mandic, D.P.; Chambers, J.A.

Neural Networks, IEEE Transactions on , Volume: 11 Issue: 2 , March 2000

Page(s): 315 –322

Palavras-chave:cost function parameters, pipelined recurrent neural net., RLS strategy





59-Neurocontroller alternatives for "fuzzy" ball-and-beam systems with

nonuniform nonlinear friction

Eaton, P.H.; Prokhorov, D.V.; Wunsch, D.C., II.

Neural Networks, IEEE Transactions on , Volume: 11 Issue: 2 , March 2000

Page(s): 423 –435

Palavras-chave: non linear control systems, neurocontrollers, fuzzy systems, truncked backpropagation






60-Extracting rules from trained neural networks

Tsukimoto, H.

Neural Networks, IEEE Transactions on , Volume: 11 Issue: 2 , March 2000

Page(s): 377 –389

Palavras-chave:boolean function, rules extraction, decompositional approaaches, polynomial complexity, monotone output function





61-Existence and learning of oscillations in recurrent neural networks

Townley, S.; Ilchmann, A.; Weiss, M.G.; Mcclements, W.; Ruiz, A.C.; Owens, D.H.;

Pratzel-Wolters, D.

Neural Networks, IEEE Transactions on , Volume: 11 Issue: 1 , Jan. 2000

Page(s): 205 –214

Palavras-chave:monotone dynamical systems, identification, exponential convergence, non linear dynimics






62-Model-based synthesis of plucked string instruments by using a class of scattering recurrent networks

Sheng-Fu Liang; Su, A.W.Y.; Chin-Teng Lin

Neural Networks, IEEE Transactions on , Volume: 11 Issue: 1 , Jan. 2000

Page(s): 171 –185

Palavras-chave:model-based systems, physical modeling method, electronic music synthesis,acoustic strings





63-Robust local stability of multilayer recurrent neural networks

Suykens, J.A.K.; de Moor, B.; Vandewalle, J.

Neural Networks, IEEE Transactions on , Volume: 11 Issue: 1 , Jan. 2000

Page(s): 222 –229

Palavras-chave:local stability, multilayer neural network, basin of attraction, Lyapunov function, backpropagation





64-Prediction of top-oil temperature for transformers using neural networks

He, Q.; Si, J.; Tylavsky, D.J.

Power Delivery, IEEE Transactions on , Volume: 15 Issue: 4 , Oct. 2000

Page(s): 1205 –1211

Palavras-chave:power transformers, transformer substation, power engineering computing, auto regression linear model





65-A new macromodeling approach for nonlinear microwave circuits based on

recurrent neural networks

Yonghua Fang; Yagoub, M.C.E.; Fang Wang; Qi-Jun Zhang

Microwave Theory and Techniques, IEEE Transactions on , Volume: 48 Issue: 12 , Dec.

2000

Page(s): 2335 –2344



Palavras-chave: microawe circuits, dynamic response, circuit optimization, circuitsimulation,backpropagation, non linear net. sysntesis




66-A real-time learning control approach for nonlinear continuous-time system using recurrent neural networks

Chow, T.W.S.; Xiao-Dong Li; Yong Fang

Industrial Electronics, IEEE Transactions on , Volume: 47 Issue: 2 , April 2000

Page(s): 478 –486

Palavras-chave:non linear control systems, real-time iterative learning control, recurrent neural net.





67-Clustering by scale-space filtering

Yee Leung; Jiang-She Zhang; Zong-Ben Xu

Pattern Analysis and Machine Intelligence, IEEE Transactions on , Volume: 22 Issue: 12

, Dec. 2000

Page(s): 1396 –1410

Palavras-chave:patteern clustering, physiological model, visual perceptron, image processing, estimation, filtering theory, scale space filtering, cluster analysis






68-Fuzzy/neural congestion control for integrated voice and data

DS-CDMA/FRMA cellular networks

Chung-Ju Chang; Bo-Wei Chen; Terng-Yuan Liu; Fang-Ching Ren

Selected Areas in Communications, IEEE Journal on , Volume: 18 Issue: 2 , Feb. 2000

Page(s): 283 –293

Palavras-chave:spread spectrum, fuzzy/neural, cdma/frma cellular net., frame reservation, interference prediction






69-Adaptive digital communication receivers

Haykin, S.

IEEE Communications Magazine , Volume: 38 Issue: 12 , Dec. 2000

Page(s): 106 –114

Palavras-chave:adaptive signal processing, digital communication, receivers, learning, decoding





70-Short-term congestion prediction: comparing time series with neural networks

Huisken, G.; Coffa, A.

Road Transport Information and Control, 2000. Tenth International Conference on

(Conf. Publ. No. 472) , 2000

Page(s): 66 –69

Palavras-chave:time series, short term congestion prediction, ARMA time series method, transportation






71-Inhibitory unlearning: a mechanism for increasing the storage capacity in na attractor network

Manzano, O.R.; Veredas, F.; Guillen, M.J.; Vico, F.J.; Roman, J.

Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000.

Proceedings. Fourth International Conference on , Volume: 1 , 2000

Page(s): 177 -180 vol.1

Palavras-chave:inhibitory unlearning, network storage capacity, attractor learning, ongoing learning






72-Robustness of a neural controller in the presence of additive and multiplicative external perturbations

Rovithakis, G.A.

Intelligent Control, 2000. Proceedings of the 2000 IEEE International Symposium on ,

2000


Page(s): 7 –12

Palavras-chave:neurocontrollers, robust control, tracking, nonlinear systems, smooth control, RHONN model






73-A new macromodeling approach for nonlinear microwave circuits based on recurrent neural networks

Fang, Y.H.; Yagoub, M.C.E.; Wang, F.; Zhang, Q.J.

Microwave Symposium Digest. 2000 IEEE MTT-S International , Volume: 2 , 2000

Page(s): 883 -886 vol.2

Palavras-chave:nonlinear network analysis, non linear microwave circuits, dynimic responses, RNN macromodel





74-Gesture recognition via pose classification

Chan Wah Ng; Ranganath, S.

Pattern Recognition, 2000. Proceedings. 15th International Conference on , Volume: 3 ,

2000


Page(s): 699 -704 vol.3

Palavras-chave:gesture recognition, image ssequences, radial basis function, fourier analysis, HMM chains, Markov model, pose classification






75-Intelligent call admission control for differentiated QoS provisioning in wideband CDMA cellular systems

Chung-Ju Chang; Shen, S.; Jiun-Hsiung Lin; Fang-Ching Ren

Vehicular Technology Conference, 2000. IEEE VTS Fall VTC 2000. 52nd , Volume: 3 ,

2000


Page(s): 1057 -1063 vol.3

Palavras-chave:CDMA systems, cellular radio, broadband net., fuzzy, intelligent control






76-Global asymptotic stability of discrete-time recurrent neural networks

Sanqing Hu; Jun Wang

Decision and Control, 2000. Proceedings of the 39th IEEE Conference on , Volume: 1 ,

2000


Page(s): 877 -882 vol.1

Palavras-chave:asymptotic stability, transfer functions, bipolar activation function, nonlinear relaxion process, contraction mapping theorem






77-Time series prediction with wavelet neural networks

Cristea, P.; Tuduce, R.; Cristea, A.

Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings

of the 5th Seminar on , 2000

Page(s): 5 –10

Palavras-chave:time series, prediction theory, wavelet transformer,non linear theory, FIR






78-An improved recursive prediction error algorithm for training recurrent

neural networks

Li Hongru; Wang Xiaozhe; Gu Shusheng

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on ,

Volume: 2 , 2000

Page(s): 1043 -1046 vol.2

Palavras-chave:recursive prediction error, learning alg. , Gauss-Newton search, forgeting factor, momentum term





79-A self organizing intelligent controller for speed and torque control of a PMSM

Mobarakeh, B.N.; Meibody-Tabar, F.; Sargos, F.M.

Industry Applications Conference, 2000. Conference Record of the 2000 IEEE , Volume:

2 , 2000

Page(s): 1283 -1290 vol.2

Palavras-chave:magnet mtors, syncronous motor, intelligent control, neurocontrollers, closed loop systems






80-A stator flux oriented vector-controlled induction motor drive with space vector PWM and flux vector synthesis by neural networks

Pinto, J.O.P.; Bose, B.K.; Silva, L.E.B.

Industry Applications Conference, 2000. Conference Record of the 2000 IEEE , Volume:

3 , 2000

Page(s): 1605 -1612 vol.3

Palavras-chave:induction motor drives, machine vector control, neurocontrollers, machine theory, feedforword neural nets, PWM pulses generation






81-A normalized gradient algorithm for an adaptive recurrent perceptron

Chambers, J.A.; Sherliker, W.; Mandic, D.P.

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE

International Conference on , Volume: 1 , 2000

Page(s): 396 -399 vol.1

Palavras-chave: adaptive systems, normalized gradient alg., normalized backpropagation alg., LMS based algorithm






82-On global asymptotic stability of fully connected recurrent neural networks

Mandic, D.P.; Chambers, J.A.; Bozic, M.M.

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE

International Conference on , Volume: 6 , 2000

Page(s): 3406 -3409 vol.6

Palavras-chave:stability, global assyntotic stability, non linear relaxion process, convergence






83-Recurrent autoassociative networks and holistic computations

Stoianov, I.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 5 , 2000

Page(s): 605 -610 vol.5

Palavras-chave:Associative processing, holistic computations, holistic operators, string reversal, generalization, holistic linguistic transformers






84-Improving the robustness of noisy MFCC features using minimal recurrent neural networks

Potamifis, I.; Fakotakis, N.; Kokkinakis, G.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 5 , 2000

Page(s): 271 -276 vol.5

Palavras-chave:speech recognition, car envirolment, feature vector, feature set, Cepstral coefficients






85-Novel use of channel information in a neural convolutional decoder

Hamalainen, A.; Henriksson, J.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 5 , 2000

Palavras-chave: convolutional codes, channel information, neural convolutional decoder, channel estimation





86-Meaning spotting and robustness of recurrent networks

Wermter, S.; Panchev, C.; Arevian, G.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 433 -438 vol.3

Palavras-chave:meaning spotting, semantic classification, incremental learning, pattern classification






87-Digital hardware implementation of 2D compatible neural networks

Girau, B.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 506 -511 vol.3

Palavras-chave:digital hardware implementation, FPGA, hardware topological constrains, asyncronous blocks, feedforword neural nets






88-A learning algorithm for improved pattern synchronization in networks with

biologically motivated neurons

Teichert, J.; Malaka, R.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 273 -278 vol.3

Palavras-chave:pattern syncronization, autoassociative net., image segmentation, perceptron learning





89-Recurrent nets that time and count

Gers, F.A.; Schmidhuber, J.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 189 -194 vol.3

Palavras-chave:timming, timing sequential tasks, motor control, internall cells, discrete time steps, sequences, rhythm detection






90-Trading off perception with internal state: reinforcement learning and

analysis of Q-Elman networks in a Markovian task

Bakker, B.; van der Voort van der Kleif, G.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000 - Page(s): 213 -218 vol.3

Palavras-chave: internal state, reinforcement learning, Q-Elman network recognition, direct mapping






91-Neurophysiology of a VLSI spiking neural network: LANN21

Fusi, S.; Del Giudice, P.; Amit, D.J.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 121 -126 vol.3

Palavras-chave:VLSI, spiking neural net., synapses, plastic synapses, external afferent current, neurophysiology






92-The cellular simultaneous recurrent network adaptive critic design for the generalized maze problem has a simple closed-form solution

Wunsch, D.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 79 -82 vol.3

Palavras-chave:convergence, adaptive critic design, convergence speed






93-An extended RTRL training algorithm using Hessian matrix

Coelho, P.H.G.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 4 , 2000

Page(s): 563 -568 vol.4

Palavras-chave: Hessian matrix, real time recurrent learning, Newton method, convergence






94-Forecasting of the chaos by iterations including multi-layer neural-network

Aoyama, T.; Hanxi Zhu; Yoshihara, I.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 4 , 2000

Page(s): 467 -471 vol.4

Palavras-chave:multilayer perceptron, recurrent representation, embedding theory, one-step prediction






95-Weight groupings in the training of recurrent networks

Lai-Wan Chan; Chi-Cheong Szeto

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 21 -26 vol.3

Palavras-chave: block-diagonal matrix, Levemberg method, weight group, learning time






96-Improved learning of multiple continuous trajectories with initial network state

Galicki, M.; Leistritz, L.; Witte, H.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 15 -20 vol.3

Palavras-chave:Pontryagin maximum principle, optimal control, control, multiple continuous trajectory






97-Periodic motions, mapping ordered sequences, and training of dynamic neural networks to generate continuous and discontinuous trajectories

Zegers, P.; Sundareshan, M.K.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 9 -14 vol.3

Palavras-chave:learning, periodic motions, ordered sequences, dynamic net., spatio temporal trajectories






98-Bi-causal recurrent cascade correlation

Micheli, A.; Sona, D.; Sperduti, A.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 3 -8 vol.3

Palavras-chave:bi-causal recurrent cascade correlation, prediction caopabilities, stric causal tasks, bi-causality






99-A bounded exploration approach to constructive algorithms for recurrent neural networks

Bone, R.; Crucianu, M.; Verley, G.; Asselin de Beauville, J.-P.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 3 , 2000

Page(s): 27 -32 vol.3

Palavras-chave:bounded explortion, time delays, learning, heuristics, gradient descent alg.






100-Recurrent neural network model of a fed-batch Saccharomyces cerevisiae

fermentation process

Barrera-Cortes, J.; Baruch, I.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 4 , 2000

Page(s): 589 -594 vol.4

Palavras-chave: fermentation, fed-batch-process, prediction, learning, control





101-Estimation of the training efficiency of recurrent neural networks

Pu Sun; Marko, K.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 4 , 2000

Page(s): 583 -588 vol.4

Palavras-chave: learning algorithm, gradient descendent method, time-lagged recurrent neural network, Kalman filter, convergence






102-Sufficient conditions for error back flow convergence in dynamical recurrent neural networks

Aussem, A.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 4 , 2000

Page(s): 577 -582 vol.4

Palavras-chave: error back flow convergence, dynamical recurrent neural network, matrix algebra, gradient vector, forgetting behavior






103-A general approach to gradient based learning in multirate systems and neural networks

Rosati, F.; Campolucci, P.; Piazza, F.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 4 , 2000

Page(s): 569 -574 vol.4

Palavras-chave: learning, gradient method, parameter estimation, nonlinear systems, adaptative systems






104-Neural processing of complex continual input streams

Gers, F.A.; Schmidhuber, J.

Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International

Joint Conference on , Volume: 4 , 2000

Page(s): 557 -562 vol.4

Palavras-chave: long-short term memory, learning, forget gates, Markov models, symbolic grammar



Download 406.67 Kb.

Share with your friends:
1   2   3   4   5   6   7   8   9   10




The database is protected by copyright ©ininet.org 2024
send message

    Main page