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La ricerca find articoli where soggetti phrase all words 'feedforward neural network' sort by level,fasc_key/DESCEND, pagina_ini_num/ASCEND ha restituito 60 riferimenti
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    1. Oh, IS; Suen, CY
      A class-modular feedforward neural network for handwriting recognition

      PATTERN RECOGNITION
    2. Park, S; Yoon, P; Sunwoo, M
      Cylinder pressure-based spark advance control for SI engines

      JSME INTERNATIONAL JOURNAL SERIES B-FLUIDS AND THERMAL ENGINEERING
    3. Dumitras, A; Kossentini, F
      High-order image subsampling using feedforward artificial neural networks

      IEEE TRANSACTIONS ON IMAGE PROCESSING
    4. Perez, P; Reyes, J
      Prediction of particulate air pollution using neural techniques

      NEURAL COMPUTING & APPLICATIONS
    5. Kamiura, N; Taniguchi, Y; Hata, Y; Matsui, N
      A learning algorithm with activation function manipulation for fault tolerant neural networks

      IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
    6. Wang, W; Jones, P; Partridge, D
      A comparative study of feature-salience ranking techniques

      NEURAL COMPUTATION
    7. Smolikova, R; Mostafa, MGH; Zurada, JM; Farag, AA
      Classification of multispectral data using fuzzy neural networks

      QUO VADIS COMPUTATIONAL INTELLIGENCE?
    8. Wang, GJ; Chen, JJ
      Cascade steepest descendant learning algorithm for multilayer feedforward neural network

      JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING
    9. Dumitras, A; Kossentini, F
      Fast and high performance image subsampling using feedforward neural networks

      IEEE TRANSACTIONS ON IMAGE PROCESSING
    10. Dumitras, A; Kossentini, F
      Feedforward neural network design with tridiagonal symmetry constraints

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    11. Vila, JP; Wagner, V; Neveu, P
      Bayesian nonlinear model selection and neural networks: A conjugate prior approach

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    12. Rubanov, NS
      The layer-wise method and the backpropagation hybrid approach to learning a feedforward neural network

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    13. Park, H; Amari, SI; Fukumizu, K
      Adaptive natural gradient learning algorithms for various stochastic models

      NEURAL NETWORKS
    14. Kon, MA; Plaskota, L
      Information complexity of neural networks

      NEURAL NETWORKS
    15. Yu, SY; Guan, L
      A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films

      IEEE TRANSACTIONS ON MEDICAL IMAGING
    16. Selvi, ST; Arumugam, S; Ganesan, L
      BIONET: an artificial neural network model for diagnosis of diseases

      PATTERN RECOGNITION LETTERS
    17. Gao, Q; Li, M; Vitanyi, P
      Applying MDL to learn best model granularity

      ARTIFICIAL INTELLIGENCE
    18. Devillers, J
      Calculation of octanol/water partition coefficients for pesticides. A comparative study

      SAR AND QSAR IN ENVIRONMENTAL RESEARCH
    19. Treadgold, NK; Gedeon, TD
      Exploring constructive cascade networks

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    20. Leung, CS; Young, GH; Sum, J; Kan, W
      On the regularization of forgetting recursive least square

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    21. Ponnapalli, PVS; Ho, KC; Thomson, M
      A formal selection and pruning algorithm for feedforward artificial neuralnetwork optimization

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    22. Sprinkhuizen-Kuyper, IG; Boers, EJW
      A local minimum for the 2-3-1 XOR network

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    23. Wang, GJ; Chen, TC
      A robust parameters self-tuning learning algorithm for multilayer feedforward neural network

      NEUROCOMPUTING
    24. Takahashi, H; Nakajima, M
      Evolutional design and training algorithm for feedforward neural networks

      IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
    25. Chang, CS
      Structural identification of static-security assessment problems using self-organising and associative memory

      ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS
    26. SONG Q
      ROBUST TRAINING ALGORITHM OF MULTILAYERED NEURAL NETWORKS FOR IDENTIFICATION OF NONLINEAR DYNAMIC-SYSTEMS

      IEE proceedings. Control theory and applications
    27. YOU C; HONG D
      NONLINEAR BLIND EQUALIZATION SCHEMES USING COMPLEX-VALUED MULTILAYER FEEDFORWARD NEURAL NETWORKS

      IEEE transactions on neural networks
    28. WARNES MR; GLASSEY J; MONTAGUE GA; KARA B
      APPLICATION OF RADIAL BASIS FUNCTION AND FEEDFORWARD ARTIFICIAL NEURAL NETWORKS TO THE ESCHERICHIA-COLI FERMENTATION PROCESS

      Neurocomputing
    29. Tzafestas, SG; Rigatos, GG
      Neural and neurofuzzy FELA adaptive robot control using feedforward and counterpropagation networks

      JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
    30. HAMMADI NC; ITO H
      ON THE ACTIVATION FUNCTION AND FAULT-TOLERANCE IN FEEDFORWARD NEURAL NETWORKS

      IEICE transactions on information and systems
    31. HAMMADI NC; OHMAMEUDA T; KANEKO K; ITO H
      DYNAMIC CONSTRUCTIVE FAULT-TOLERANT ALGORITHM FOR FEEDFORWARD NEURAL NETWORKS

      IEICE transactions on information and systems
    32. SETIONO R; LIU H
      NEURAL-NETWORK FEATURE SELECTOR

      IEEE transactions on neural networks
    33. HLAVACKOVA K; VERLEYSEN M
      PLACING SPLINE KNOTS IN NEURAL NETWORKS USING SPLINES AS ACTIVATION FUNCTIONS

      Neurocomputing
    34. HAMMADI C; ITO H
      A LEARNING ALGORITHM FOR FAULT-TOLERANT FEEDFORWARD NEURAL NETWORKS

      IEICE transactions on information and systems
    35. STEPPE JM; BAUER KW
      FEATURE SALIENCY MEASURES

      Computers & mathematics with applications
    36. MAGOULAS GD; VRAHATIS MN; ANDROULAKIS GS
      EFFECTIVE BACKPROPAGATION TRAINING WITH VARIABLE STEPSIZE

      Neural networks
    37. VRAHATIS MN; ANDROULAKIS GS; MAGOULAS GD
      ON THE ACCELERATION OF THE BACKPROPAGATION TRAINING METHOD

      Nonlinear analysis
    38. ABDELWAHHAB O; SIDAHMED MA
      A NEW SCHEME FOR TRAINING FEEDFORWARD NEURAL NETWORKS

      Pattern recognition
    39. WU YS
      HOW TO CHOOSE AN APPROPRIATE TRANSFER-FUNCTION IN DESIGNING A SIMPLEST ANN TO SOLVE SPECIFIC PROBLEMS

      SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
    40. STEPPE JM; BAUER KW
      IMPROVED FEATURE SCREENING IN FEEDFORWARD NEURAL NETWORKS

      Neurocomputing
    41. SAXEN H
      ON THE APPROXIMATION OF A QUADRATIC MAP BY A SMALL NEURAL-NETWORK

      Neurocomputing
    42. SETIONO R; LIU H
      IMPROVING BACKPROPAGATION LEARNING WITH FEATURE-SELECTION

      Applied intelligence
    43. TRAFALIS TB; COUELLAN NP
      NEURAL-NETWORK TRAINING VIA AN AFFINE SCALING QUADRATIC OPTIMIZATION ALGORITHM

      Neural networks
    44. JIANG JH; WANG JH; SONG XH; YU RQ
      NETWORK TRAINING AND ARCHITECTURE OPTIMIZATION BY A RECURSIVE APPROACH AND A MODIFIED GENETIC ALGORITHM

      Journal of chemometrics
    45. DROSTE K; BOLLSCHWEILER E; WASCHULZIK T; SCHUTZ T; ENGELBRECHT R; MARUYAMA K; SIEWERT JR
      PREDICTION OF LYMPH-NODE METASTASIS IN GASTRIC-CANCER PATIENTS WITH NEURAL NETWORKS

      Cancer letters
    46. AUCKLAND DW; PICKUP IED; SHUTTLEWORTH R; ZHOU C
      ARTIFICIAL NEURAL-NETWORK-BASED METHOD FOR TRANSIENT-RESPONSE PREDICTION

      IEE proceedings. Generation, transmission and distribution
    47. FOODY GM
      TRAINING PATTERN REPLICATION AND WEIGHTED CLASS ALLOCATION IN ARTIFICIAL NEURAL-NETWORK CLASSIFICATION

      NEURAL COMPUTING & APPLICATIONS
    48. MAEDA Y; HIRANO H; KANATA Y
      A LEARNING RULE OF NEURAL NETWORKS VIA SIMULTANEOUS PERTURBATION AND ITS HARDWARE IMPLEMENTATION

      Neural networks
    49. SCHETTINI R; BAROLO B; BOLDRIN E
      COLORIMETRIC CALIBRATION OF COLOR SCANNERS BY BACKPROPAGATION

      Pattern recognition letters
    50. NARENDRANATH M; MURTHY HA; RAJENDRAN S; YEGNANARAYANA B
      TRANSFORMATION OF FORMANTS FOR VOICE CONVERSION USING ARTIFICIAL NEURAL NETWORKS

      Speech communication
    51. FUJIKI S; FUJIKI NM
      LEARNING-PROCESSES OF LAYERED NEURAL NETWORKS

      Science Reports of the Research Institutes, Tohoku University, Series A: Physics, Chemistry, and Metallurgy
    52. FUJIKI S; FUJIKI NM
      A LEARNING-PROCESS OF A STOCHASTIC FEEDFORWARD NEURAL-NETWORK

      Journal of the Physical Society of Japan
    53. KUMAR S; KRISHNA BA; SATSANGI PS
      FUZZY-SYSTEMS AND NEURAL NETWORKS IN SOFTWARE ENGINEERING PROJECT-MANAGEMENT

      Applied intelligence
    54. CHEN T; TAKAGI M
      AVHRR IMAGE SEGMENTATION USING MODIFIED BACKPROPAGATION ALGORITHM

      IEICE transactions on information and systems
    55. VANDERSMAGT PP
      MINIMIZATION METHODS FOR TRAINING FEEDFORWARD NEURAL NETWORKS

      Neural networks
    56. BEAUFAYS F; ABDELMAGID Y; WIDROW B
      APPLICATION OF NEURAL NETWORKS TO LOAD-FREQUENCY CONTROL IN POWER-SYSTEMS

      Neural networks
    57. YAMASAKI K; OGAWA H
      A THEORY OF OVER-LEARNING IN THE PRESENCE OF NOISE

      Systems and computers in Japan
    58. YAMASAKI K; OGAWA H
      METHODS FOR CHOOSING A TRAINING SET WHICH PREVENTS OVER-LEARNING

      Systems and computers in Japan
    59. SHAWETAYLOR J
      SYMMETRIES AND DISCRIMINABILITY IN FEEDFORWARD NETWORK ARCHITECTURES

      IEEE transactions on neural networks
    60. MOLLER MF
      A SCALED CONJUGATE-GRADIENT ALGORITHM FOR FAST SUPERVISED LEARNING

      Neural networks


ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/05/20 alle ore 09:27:46