Volume 16, Number 1, 2002

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  Rainer M. Benning, Thomas M. Becker, Antonio Delgado: Principal Feasability Studies Using Neuro 8211 Numerics for Prediction of Flow Fields. 1-15
• 
  Huang Yuancan: A Novel Method to Handle Inequality Constraints for Convex Programming Neural Network. 17-27
• 
  Yifeng Zhang, Zhenya He, Chengjian Wei: Self Organizing Transient Chaotic Neural Network for Cellular Channel Assignment. 29-41
• 
  Alberto Alvarez: A Neural Network with Evolutionary Neurons. 43-52
• 
  Antanas Verikas, Arunas Lipnickas: Fusing Neural Networks Through Space Partitioning and Fuzzy Integration. 53-65
• 
  Noriaki Kouda, Nobuyuki Matsui, Haruhiko Nishimura: Image Compression by Layered Quantum Neural Networks. 67-80
• 
  Iulian B. Ciocoiu: Hybrid Feedforward Neural Networks for Solving Classification Problems. 81-91

Volume 16, Number 2, 2002

• 
  Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz: Self Organizing Dynamic Graphs. 93-109
• 
  Mátyás Brendel, Tamás Roska, Gusztáv Bártfai: Gradient Computation of Continuous Time Cellular Neural Nonlinear Networks with Linear Templates via the CNN Universal Machine. 111-120
• 
  Siu-Yeung Cho, Tommy W. S. Chow, Kai Tat Ng: Shape From Shading by Using Neural Based Colour Reflectance Model. 121-136
• 
  Kayvan Najarian: Learning Based Complexity Evaluation of Radial Basis Function Networks. 137-150
• 
  Tommy W. S. Chow, Sitao Wu: Piecewise Linear Projection Based on Self Organizing Map. 151-163
• 
  Osamu Hoshino: Beating in Membrane Potential Mediated by Cortical gamma Oscillations for Reading Out Synchronous Neuronal Activities Over Distant Cortical Areas. 165-175
• 
  Marcus Gallagher, Tom Downs, Ian Wood: Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces. 177-186
• 
  Igor V. Tetko: Associative Neural Network. 187-199

Volume 16, Number 3, 2002

• 
  Juan Manuel Torres Moreno, Julio C. Aguilar, Mirta B. Gordon: The Minimum Number of Errors in the N-Parity and its Solution with an Incremental Neural Network. 201-210
• 
  Zümray Dokur: Segmentation of MR and CT Images Using a Hybrid Neural Network Trained by Genetic Algorithms. 211-225
• 
  Yoram Baram, Judith Aharon-Peretz, Yahalomit Simionovici, Lior Ron: Walking on Virtual Tiles. 227-233
• 
  Yuichi Sakumura, Kazuyuki Aihara: Stochastic Resonance and Coincidence Detection in Single Neurons. 235-242
• 
  Enrique Carlos Segura Meccia, Roberto P. J. Perazzo: Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics. 243-257
• 
  José L. Sanz-González, Diego Andina, Juan Seijas: Importance Sampling and Mean Square Error in Neural Detector Training. 259-276
• 
  Aluizio F. R. Araújo, André S. Henriques: A Stochastic Neural Model for Fast Identification of Spatiotemporal Sequences. 277-292
• 
  Gavin C. Cawley, Nicola L. C. Talbot: Reduced Rank Kernel Ridge Regression. 293-302

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