Neurocomputing, Volume 6

Volume 6, Number 1, 1994

• Etienne Barnard, Johann E. W. Holm:
  A comparative study of optimization techniques for backpropagation. 19-30
  
• Eric B. Bartlett:
  A stochastic training algorithm for artificial neural networks. 31-43
  
• S. L. Hung, Hojjat Adeli:
  Object-oriented backpropagation and its application to structural design. 45-55
  
• Davide Anguita, Giancarlo Parodi, Rodolfo Zunino:
  An efficient implementation of BP on RISC-based workstations. 57-65
  
• Angelo Monfroglio:
  Backpropagation networks for logic constraint solving. 67-98
  
• Man-Wai Mak, W. G. Allen, G. G. Sexton:
  Speaker identification using multilayer perceptrons and radial basis function networks. 99-117
  

Volume 6, Number 2, 1994

• Claas de Groot, Diethelm Würtz:
  'Plain backpropagation' and advanced optimization algorithms: A comparative study. 153-161
  
• Yoh-Han Pao, Gwang Hoon Park, Dejan J. Sobajic:
  Learning and generalization characteristics of the random vector Functional-link net. 163-180
  
• Roberto Battiti, Giampietro Tecchiolli:
  Learning with first, second, and no derivatives: A case study in high energy physics. 181-206
  
• Masafumi Hagiwara:
  A simple and effective method for removal of hidden units and weights. 207-218
  
• Hanseok Ko, Robert H. Baran:
  Signal detectability enhancement with auto-associative backpropagation networks. 219-236
  
• Thomas J. Anastasio:
  Testable predictions from recurrent backpropagation models of the vestibulo-ocular reflex. 237-255
  

Volume 6, Number 3, 1994

• Moshe Sipper, Yehezkel Yeshurun:
  Cost-performance evaluation of analog neural networks and high order networks. 291-303
  
• Tien-Ren Tsao, Victor Chen:
  A neural scheme for optical flow computation based on Gabor filters and generalized gradient method. 305-325
  
• Fongray Frank Young, Chwan-Hwa John Wu:
  Using dipole receptive fields for the reconstruction of printed characters. 327-342
  
• Sophie Midenet, Alain Grumbach:
  Learning Associations by Self-Organization: The LASSO model. 343-361
  
• Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
  Decision making using neural networks. 363-374
  

Volume 6, Number 4, 1994

• T. H. Lee, A. P. Loh, V. Srinivasan:
  A technique for on-line parameter estimation based on an analog artificial neural net structure. 405-417
  
• Denis Pellerin, Jeanny Hérault:
  Scheduling with neural networks: Application to timetable construction. 419-442
  
• Juan J. Merelo Guervós, Miguel A. Andrade, Alberto Prieto, Federico Morán:
  Proteinotopic feature maps. 443-454
  
• Vidya Sagar, Garry M. Jacyna, Harold Szu:
  Block-parallel decoding of convolutional codes using neural network decoders. 455-471
  
• Hirokazu Yokoi:
  A fundamental element for neural computer - Folthret. 473-486
  

Volume 6, Number 5, 1994

• Ashot Chilingarian:
  Neural classification technique for background rejection in high energy physics experiments. 497-512
  
• Masafumi Hagiwara:
  Time-Delay ART for spatio-temporal patterns. 513-521
  
• D. K. Bhattacharyya, Amit Kumar Ray:
  Stepless PWM speed control of AC motors: A neural network approach. 523-539
  
• Hyeonjoong Yoo, Russell L. Pimmel:
  The effect of weight precision and range on neural network classifier performance. 541-549
  
• Harold Szu, Jung Hwan Kim, Insook Kim:
  Live neural network formations on electronic chips. 551-564
  
• Shaohua Tan, Joos Vandewalle:
  On the design of feedforward neural networks for binary mappings. 565-582
  
• Werner Kinnebrock:
  Accelerating the standard backpropagation method using a genetic approach. 583-588
  

Last update Fri May 24 20:27:14 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page