Neural Computing and Applications, Volume 12

Volume 12, Number 1, September 2003

• Gürsel Serpen, Yifeng Xu:
  Simultaneous recurrent neural network trained with non-recurrent backpropagation algorithm for static optimisation. 1-9
  
• D. Kimes, R. Nelson, E. Levine, S. Weiss, M. E. Bollinger, C. Blaisdell:
  Predicting paediatric asthma hospital admissions and ED visits. 10-17
  
• Mohammad Shakeel Laghari:
  Recognition of texture types of wear particles. 18-25
  
• Wolfgang Holzapfel, Manfried Sofsky:
  Evaluation of correlation methods applying neural networks. 26-32
  
• N. Mehrtash, D. Jung, Heinrich Klar:
  Image preprocessing with dynamic synapses. 33-41
  
• S. Wang:
  Application of self-organising maps for data mining with incomplete data sets. 42-48
  

Volume 12, Number 2, November 2003

• Dolores Barrios, Alberto Carrascal, Daniel Manrique, Juan Rios:
  Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks. 49-60
  
• Ralf Schoknecht, Martin Riedmiller:
  Reinforcement learning on explicitly specified time scales. 61-80
  
• Stephan ten Hagen, Ben J. A. Kröse:
  Neural Q-learning. 81-88
  
• Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran:
  ATM congestion control using Minimal Resource Allocation Networks (MRAN). 89-97
  
• Randa Herzallah, David Lowe:
  Robust control of nonlinear stochastic systems by modelling conditional distributions of control signals. 98-108
  
• Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz, Enrique Domínguez Merino:
  New learning rules for the ASSOM network. 109-118
  
• J. J. Montaño, A. Palmer:
  Numeric sensitivity analysis applied to feedforward neural networks. 119-125
  

Volume 12, Number 3-4, December 2003

• John MacIntyre:
  Editorial for Volume 12 Issue 3-4. 127
  
• Ernesto Compatangelo, Helmut Meisel:
  "Reasonable" support to knowledge sharing through schema analysis and articulation. 129-141
  
• Manuel Rubio, Victor Giménez:
  New methods for self-organising map visual analysis. 142-152
  
• Daniel Neagu, Vasile Palade:
  A neuro-fuzzy approach for functional genomics data interpretation and analysis. 153-159
  
• Rinaldo Poluzzi, Alberto Savi, Davide Vago, Giuseppe Martina:
  Neuro-fuzzy clustering techniques for complex acoustic scenarios. 160-165
  
• Selçuk Soyupak, Feza Karaer, Hasan Gürbüz, Ersin Kivrak, Engin Sentürk, Ali Yazici:
  A neural network-based approach for calculating dissolved oxygen profiles in reservoirs. 166-172
  
• Yogesh Singh, C. S. Rai:
  A simplified approach to independent component analysis. 173-177
  
• C. J. Khoh, K. K. Tan:
  Adaptive robust control for servo manipulators. 178-184
  
• Ding-Wen Yu, Ding-Li Yu:
  Neural network control of multivariable processes with a fast optimisation algorithm. 185-189
  
• Nikos Papamarkos:
  A neuro-fuzzy technique for document binarisation. 190-199
  
• Catarina Silva, Bernardete Ribeiro:
  Navigating mobile robots with a modular neural architecture. 200-211
  
• Tom Heskes, Jan-Joost Spanjers, Bart Bakker, Wim Wiegerinck:
  Optimising newspaper sales using neural-Bayesian technology. 212-219
  
• Arthur Plínio de S. Braga, Aluizio F. R. Araújo:
  A topological reinforcement learning agent for navigation. 220-236