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La ricerca find articoli where soggetti phrase all words 'RECURRENT NEURAL NETWORK' sort by level,fasc_key/DESCEND, pagina_ini_num/ASCEND ha restituito 81 riferimenti
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    1. Schroder, D; Hintz, C; Rau, M
      Intelligent modeling, observation, and control for nonlinear systems

      IEEE-ASME TRANSACTIONS ON MECHATRONICS
    2. Tang, WS; Wang, J
      A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    3. Lin, FJ; Wai, RJ
      Hybrid control using recurrent fuzzy neural network for linear-induction motor servo drive

      IEEE TRANSACTIONS ON FUZZY SYSTEMS
    4. Wai, RJ
      Hybrid control for speed sensorless induction motor drive

      IEEE TRANSACTIONS ON FUZZY SYSTEMS
    5. Lin, FJ; Wai, RJ; Hong, CM
      Hybrid supervisory control using recurrent fuzzy neural network for tracking periodic inputs

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    6. Pan, YD; Sung, SW; Lee, JH
      Data-based construction of feedback-corrected nonlinear prediction model using feedback neural networks

      CONTROL ENGINEERING PRACTICE
    7. Zhou, SM; Xu, LD
      A new type of recurrent fuzzy neural network for modeling dynamic systems

      KNOWLEDGE-BASED SYSTEMS
    8. Trentin, E; Giuliani, D
      A mixture of recurrent neural networks for speaker normalisation

      NEURAL COMPUTING & APPLICATIONS
    9. Benson, M; Carrasco, RA
      Application of a recurrent neural network to space diversity in SDMA and CDMA mobile communication systems

      NEURAL COMPUTING & APPLICATIONS
    10. Lu, JM; Lin, H; Wang, XQ; Yahagi, T
      Multi-input single-output nonlinear adaptive digital filters using recurrent neural networks

      IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
    11. Blanco, A; Delgado, M; Pegalajar, MC
      A real-coded genetic algorithm for training recurrent neural networks

      NEURAL NETWORKS
    12. Blanco, A; Delgado, M; Pegalajar, MC
      Fuzzy automaton induction using neural network

      INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
    13. Wai, RJ
      Total sliding-mode controller for PM synchronous servo motor drive using recurrent fuzzy neural network

      IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
    14. Valoor, MT; Chandrashekhara, K; Agarwal, S
      Self-adaptive vibration control of smart composite beams using recurrent neural architecture

      INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
    15. Mandic, DP; Chambers, JA
      Advanced RNN based NARMA predictors

      JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
    16. Huang, QJ; Nonami, K; Uchida, H; Iguchi, Y; Yanai, T
      CAD model based autonomous locomotion of quadruped robot by using correction of trajectory planning with RNN

      JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING
    17. Hwang, CL; Lin, CH
      A discrete-time multivariable neuro-adaptive control for nonlinear unknowndynamic systems

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    18. Mandic, DP; Chambers, JA
      On the choice of parameters of the cost function in nested modular RNN's

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    19. Eaton, PH; Prokhorov, DV; Wunsch, DC
      Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    20. Boden, M; Wiles, J
      Context-free and context-sensitive dynamics in recurrent neural networks

      CONNECTION SCIENCE
    21. Petrosian, A; Prokhorov, D; Homan, R; Dasheiff, R; Wunsch, D
      Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG

      NEUROCOMPUTING
    22. Jung, SH; Yoon, H
      Binary second-order recurrent neural networks for inferring regular grammars

      IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
    23. Sima, J; Orponen, P; Antti-Poika, T
      On the computational complexity of binary and analog symmetric hopfield nets

      NEURAL COMPUTATION
    24. Arai, K; Nakano, R
      Stable behavior in a recurrent neural network for a finite state machine

      NEURAL NETWORKS
    25. Blanco, A; Delgado, M; Pegalajar, MC
      A genetic algorithm to obtain the optimal recurrent neural network

      INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
    26. Pham, DT; Yildirim, S
      Design of a neural internal model control system for a robot

      ROBOTICA
    27. Brouwer, RK
      An integer recurrent artificial neural network for classifying feature vectors

      INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
    28. Li, LK; Chau, FT; Leung, AKM
      Compression of ultraviolet-visible spectrum with recurrent neural network

      CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
    29. Wei, YM
      Recurrent neural networks for computing weighted Moore-Penrose inverse

      APPLIED MATHEMATICS AND COMPUTATION
    30. Gupta, L; McAvoy, M
      Investigating the prediction capabilities of the simple recurrent neural network on real temporal sequences

      PATTERN RECOGNITION
    31. Gupta, L; McAvoy, M; Phegley, J
      Classification of temporal sequences via prediction using the simple recurrent neural network

      PATTERN RECOGNITION
    32. Billard, A; Hayes, G
      DRAMA, a connectionist architecture for control and learning in autonomousrobots

      ADAPTIVE BEHAVIOR
    33. Mandic, DP; Chambers, JA
      Toward an optimal PRNN-based nonlinear predictor

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    34. Tino, P; Koteles, M
      Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    35. Trentin, E; Cattoni, R
      Learning perception for indoor robot navigation with a hybrid hidden Markov model/recurrent neural networks approach

      CONNECTION SCIENCE
    36. Rodriguez, P; Wiles, J; Elman, JL
      A recurrent neural network that learns to count

      CONNECTION SCIENCE
    37. Rodriguez, N; Soto, I; Carrasco, R
      Adaptive predistortion and postdistortion for nonlinear channel

      NEURAL COMPUTING & APPLICATIONS
    38. Mandic, DP; Chambers, JA
      Exploiting inherent relationships in RNN architectures

      NEURAL NETWORKS
    39. Kumagai, T; Wada, M; Hashimoto, R; Utsugi, A
      Dynamical control by recurrent neural networks through genetic algorithms

      INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
    40. da Silva, LEB; Bose, BK; Pinto, JOP
      Recurrent-neural-network-based implementation of a programmable cascaded low-pass filter used in stator flux synthesis of vector-controlled inductionmotor drive

      IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
    41. Taiji, M; Ikegami, T
      Dynamics of internal models in game players

      PHYSICA D
    42. Chon, KH; Hoyer, D; Armoundas, AA; Holstein-Rathlou, NH; Marsh, DJ
      Robust nonlinear autoregressive moving average model parameter estimation using stochastic recurrent artificial neural networks

      ANNALS OF BIOMEDICAL ENGINEERING
    43. Ji, XD; Familoni, BO
      A diagonal recurrent neural network-based hybrid direct adaptive SPSA control system

      IEEE TRANSACTIONS ON AUTOMATIC CONTROL
    44. PASEMANN F
      STRUCTURE AND DYNAMICS OF RECURRENT NEUROMODULES

      THEORY IN BIOSCIENCES
    45. CHEN SH; HWANG SH; WANG YR
      AN RNN-BASED PROSODIC INFORMATION SYNTHESIZER FOR MANDARIN TEXT-TO-SPEECH

      IEEE transactions on speech and audio processing
    46. SAAD EW; PROKHOROV DV; WUNSCH DC
      COMPARATIVE-STUDY OF STOCK TREND PREDICTION USING TIME-DELAY, RECURRENT AND PROBABILISTIC NEURAL NETWORKS

      IEEE transactions on neural networks
    47. WANG J; XIA YS
      ANALYSIS AND DESIGN OF PRIMAL-DUAL ASSIGNMENT NETWORKS

      IEEE transactions on neural networks
    48. PERSONNAZ L; DREYFUS G
      COMMENT ON RECURRENT NEURAL NETWORKS - A CONSTRUCTIVE ALGORITHM, AND ITS PROPERTIES

      Neurocomputing
    49. Cannas, B; Celli, G; Marchesi, M; Pilo, F
      Neural networks for power system condition monitoring and protection

      NEUROCOMPUTING
    50. LIN JHJ; CHANG JS; CHIUEH TD
      HETEROGENEOUS RECURRENT NEURAL NETWORKS

      IEICE transactions on fundamentals of electronics, communications and computer science
    51. Kimura, M; Nakano, R
      Learning dynamical systems by recurrent neural networks from orbits

      NEURAL NETWORKS
    52. KURODA C; HIKICHI S; OGAWA K
      LONG-TERM PREDICTIONS USING RECURRENT NEU RAL NETWORKS FOR STATE CHANGES IN POLYMERIZATION REACTORS

      Kagaku kogaku ronbunshu
    53. ZHU JH; ZAMAN MM; ANDERSON SA
      MODELING OF SHEARING BEHAVIOR OF A RESIDUAL SOIL WITH RECURRENT NEURAL-NETWORK

      International journal for numerical and analytical methods in geomechanics
    54. HE YA; WU JJ
      CONTROL OF STRUCTURAL SEISMIC RESPONSE BY SELF-RECURRENT NEURAL-NETWORK (SRNN)

      Earthquake engineering & structural dynamics
    55. SONG JY; YAM Y
      COMPLEX RECURRENT NEURAL-NETWORK FOR COMPUTING THE INVERSE AND PSEUDO-INVERSE OF THE COMPLEX MATRIX

      Applied mathematics and computation
    56. LEE T; CHING PC; CHAN LW
      ISOLATED WORD RECOGNITION USING MODULAR RECURRENT NEURAL NETWORKS

      Pattern recognition
    57. BOCK J; GOUGH DA
      TOWARD PREDICTION OF PHYSIOLOGICAL-STATE SIGNALS IN SLEEP-APNEA

      IEEE transactions on biomedical engineering
    58. WIEBE SP; STAUBLI UV; AMBROSINGERSON J
      SHORT-TERM REVERBERANT MEMORY MODEL OF HIPPOCAMPAL FIELD CA3

      Hippocampus
    59. HACIOGLU K
      AN IMPROVED RECURRENT NEURAL-NETWORK FOR M-PAM SYMBOL DETECTION

      IEEE transactions on neural networks
    60. LEE SW; SONG HH
      A NEW RECURRENT NEURAL-NETWORK ARCHITECTURE FOR VISUAL-PATTERN RECOGNITION

      IEEE transactions on neural networks
    61. CAO JT; YAHAGI T
      PARALLEL NONLINEAR ADAPTIVE DIGITAL-FILTERS USING RECURRENT NEURAL NETWORKS

      Electronics and communications in Japan. Part 3, Fundamental electronic science
    62. CAO JT; YAHAGI T
      PARALLEL NONLINEAR ADAPTIVE DIGITAL-FILTERS USING RECURRENT NEURAL NETWORKS

      Electronics and communications in Japan. Part 3, Fundamental electronic science
    63. APOLLONI B; BATTINI F; LUCISANO C
      A COOPERATING NEURAL APPROACH FOR SPACECRAFTS ATTITUDE-CONTROL

      Neurocomputing
    64. SIEGELMANN HT; GILES CL
      THE COMPLEXITY OF LANGUAGE RECOGNITION BY NEURAL NETWORKS

      Neurocomputing
    65. NOONBURG VW
      THRESHOLD-DEPENDENT LIMIT-CYCLES IN A NONLINEAR NETWORK MODEL

      Neural networks
    66. BROUWER RK
      AUTOMATIC GROWING OF A HOPFIELD STYLE NETWORK DURING TRAINING FOR CLASSIFICATION

      Neural networks
    67. HE J; MALIK OP
      AN ADAPTIVE POWER-SYSTEM STABILIZER BASED ON RECURRENT NEURAL NETWORKS

      IEEE transactions on energy conversion
    68. CHANG PR; HU JT
      OPTIMAL NONLINEAR ADAPTIVE PREDICTION AND MODELING OF MPEG VIDEO IN ATM NETWORKS USING PIPELINED RECURRENT NEURAL NETWORKS

      IEEE journal on selected areas in communications
    69. CAMPBELL PK; CHRISTIANSEN A; DALE M; FERRA HL; KOWALCZYK A; SZYMANSKI J
      EXPERIMENTS WITH SIMPLE NEURAL NETWORKS FOR REAL-TIME CONTROL

      IEEE journal on selected areas in communications
    70. TEISSIER P; PERRET B; LATRILLE E; BARILLERE JM; CORRIEU G
      A HYBRID RECURRENT NEURAL-NETWORK MODEL FOR YEAST PRODUCTION MONITORING AND CONTROL IN A WINE BASE MEDIUM

      Journal of biotechnology
    71. KUMAGAI T; HASHIMOTO R; WADA M
      LEARNING OF LIMIT-CYCLES IN DISCRETE-TIME NEURAL-NETWORK

      Neurocomputing
    72. KIRSCHNING I; AOE JI
      NEURAL NETWORKS AND THE TIME-SLICED PARADIGM FOR SPEECH RECOGNITION

      IEICE transactions on information and systems
    73. YOKOI K; GOUHARA K; UCHIKAWA Y
      COMPARATIVE-STUDY OF SEARCHING METHOD IN RECURRENT NEURAL NETWORKS

      Systems and computers in Japan
    74. ENGLISH TM
      STACKED GENERALIZATION AND SIMULATED EVOLUTION

      Biosystems
    75. SANDHOLM TW; CRITES RH
      MULTIAGENT REINFORCEMENT LEARNING IN THE ITERATED PRISONERS-DILEMMA

      Biosystems
    76. GILES CL; HORNE BG; LIN T
      LEARNING A CLASS OF LARGE FINITE-STATE MACHINES WITH A RECURRENT NEURAL-NETWORK

      Neural networks
    77. BROUWER RK
      A METHOD FOR TRAINING RECURRENT NEURAL NETWORKS FOR CLASSIFICATION BYBUILDING BASINS OF ATTRACTION

      Neural networks
    78. NAKAJIMA H; KODA T; UDA Y
      PROCESS OF LEARNING DISCRETE DYNAMICAL-SYSTEMS BY RECURRENT NEURAL NETWORKS

      Electronics and communications in Japan. Part 3, Fundamental electronic science
    79. WANG J
      A DETERMINISTIC ANNEALING NEURAL-NETWORK FOR CONVEX-PROGRAMMING

      Neural networks
    80. WATANABE T; UCHIKAWA Y; GOUHARA K
      EXPERIMENTAL STUDIES OF MEMORY SURFACES AND LEARNING SURFACES IN RECURRENT NEURAL NETWORKS

      Systems and computers in Japan
    81. FUNAHASHI K; NAKAMURA Y
      APPROXIMATION OF DYNAMICAL-SYSTEMS BY CONTINUOUS-TIME RECURRENT NEURAL NETWORKS

      Neural networks


ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/10/20 alle ore 18:11:38