International Journal of Neural Systems, Volume 8

Volume 8, Number 1, February 1997

• Joakim Waldemark:
  An Automated Procedure for Cluster Analysis of Multivariate Satellite Data. 3-15
  
• Thomas Martini Jørgensen:
  Classification of Handwritten Digits using a RAM Neural Net Architecture. 17-25
  
• Rainer Herpers, L. Witta, Jörg Bruske, Gerald Sommer:
  Dynamic Cell Structures for the Evaluation of Keypoints in Facial Images. 27-39
  
• C. Firmin, Denis Hamad, Jack-Gérard Postaire, R. D. Zhang:
  Gaussian Neural Networks for Glass Bottles Inspection: A Learning Procedure. 41-46
  
• Tom Ziemke:
  Radar Image Segmentation Using Self-Adapting Recurrent Networks. 47-54
  
• Ahmad Ghazanfari, Anthony J. Kusalik, Joseph Irudayaraj:
  Application of a Multi-Structure Neural Network (MSNN) to Sorting Pistachio Nuts. 55-61
  
• Georg S. Ruppert, Mathias Schardt, Gerd Balzuweit, Mushtaq Hussain:
  A Hybrid Classifier for Remote Sensing Applications. 63-68
  
• J. Radjenoviç-Mrcarica, Zeljko Mrcarica, Helmut Detter, Vanco B. Litovski:
  Neural Network Visual Recognition for Automation of the Microelectromechanical Systems Assembly. 69-79
  
• Udo Seiffert, Bernd Michaelis:
  Growing 3D-SOMs with 2D-Input Layer as a Classification Tool in a Motion Detection System. 81-89
  
• S. Dickson, Barry T. Thomas, P. Goddard:
  Using Neural Networks to Automatically Detect Brain Tumours in MR Images. 91-99
  
• Benoît Decoux:
  Self-Supervised Learning in Cooperative Stereo Vision Correspondence. 101-111
  
• Sorin Draghici:
  A Neural Network Based Artificial Vision System for Licence Plate Recognition. 113-126
  
• Luis Rodríguez, Pedro J. Zufiria, José Andrés Berzal:
  Video Sequence Compression via Supervised Training on Cellular Neural Networks. 127-135
  
• Neill W. Campbell, Barry T. Thomas, Tom Troscianko:
  Automatic Segmentation and Classification of Outdoor Images Using Neural Networks. 137-144
  

Volume 8, Number 2, April 1997

• Tsong-Zen Liu, Chen-Wen V. Yen:
  An Adaptive Training Method for Optimal Interpolative Neural Nets. 145-154
  
• Siu Cheong Leung, John Fulcher:
  Classification of User Expertise Level by Neural Networks. 155-171
  
• Soheil Shams:
  Translation-, Rotation-, Scale-, and Distortion-Invariant Object Recognition Through Self-Organization. 173-179
  
• Cheng-An Hung, Sheng-Fuu Lin:
  Supervised Adaptive Hamming Net for Classification of Multiple-Valued Patterns. 181-200
  
• Brijesh Verma:
  Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks. 201-207
  
• Tamás D. Gedeon:
  Data Mining of Inputs: Analysing Magnitude and Functional Measures. 209-218
  
• Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, Petteri Pajunen:
  On Neural Blind Separation with Noise Suppression and Redundancy Reduction. 219-237
  
• J. Zhou, S. Bennett:
  A Supervised Learning Network Based on Adaptive Resonance Theory. 239-246
  

• George Barbastathis:
  Book Review: "Impossible Minds", by Igor Aleksander. 247-248
  
• Richard D. De Veaux:
  Book Review: "Neural Networks for Pattern Recognition", by Christopher M. Bishop. 249-250
  

Volume 8, Number 3, June 1997

• Marijke F. Augusteijn, Michael C. Winterbottom:
  Invariant Object Recognition Using Higher-Order Neural Networks, Line-Segment Spectra and Multi-Resolution Training. 251-262
  
• Jim Torresen:
  The Convergence of Backpropagation Trained Neural Networks for Various Weight Update Frequencies. 263-277
  
• Doo-Hyun Choi, Se-Young Oh:
  Real-Time Neural Network Based Camera Localization and its Extension to Mobile Robot Control. 279-293
  
• Anke Meyer-Bäse:
  Stability Analysis of a Class of Noise Perturbed Neural Networks. 295-300
  
• Marcel J. Nijman, Hilbert J. Kappen:
  Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines. 301-315
  
• Thomas L. Hemminger, Robert E. Farrell:
  High Resolution Measurement of Translucent Plastic Wall Thicknesses by Computerized Tomography and Neural Networks. 317-324
  
• Cheng-Jian Lin:
  SISO Nonlinear System Identification Using a Fuzzy-Neural Hybrid System. 325-337
  
• András Lörincz:
  Static and Dynamic State Feedback Control Model of Basal Ganglia-Thalamocortical Loops. 339-357
  

• Vasant Dhar:
  Book Review: "Neural Networks in Financial Engineering: Proceedings of the Fourth International Conference on Neural Networks in the Capital Markets (NNCM-95)", by A.-P. N. Refenes, Y. Abu-Mostafa, J. Moody, A. Weigend. 359-360
  
• David Horn:
  Book Review: "How we Learn; How we Remember; Toward an Understanding of Brain and Neural Systems", by Leon N. Cooper. 361-363
  

Volume 8, Number 4,

• Mark Craven, Jude W. Shavlik:
  Understanding Time-Series Networks: A Case Study in Rule Extraction. 373-384
  
• Jens Timmer, Andreas S. Weigend:
  Modeling Volatility Using State Space Models. 385-398
  
• Peter J. Bolland, Jerome T. Connor:
  A Constrained Neural Network Kalman Filter for Price Estimation in High Frequency Financial Data. 399-415
  
• Mark Choey, Andreas S. Weigend:
  Nonlinear Trading Models Through Sharpe Ratio Maximization. 417-431
  
• Yoshua Bengio:
  Using a Financial Training Criterion Rather than a Prediction Criterion. 433-443
  
• Yoram Singer:
  Switching Portfolios. 445-455
  
• Paul Lajbcygier, Jerome T. Connor:
  Improved Option Pricing Using Artificial Neural Networks and Bootstrap Methods. 457-471
  
• Andrew D. Back, Andreas S. Weigend:
  A First Application of Independent Component Analysis to Extracting Structure from Stock Returns. 473-484
  

Volume 8, Number 5-6, October & December 1997

• J. G. Kim, H. Jeong, Y. W. Lee:
  Letter to the Editor: Neural Solution to the Correction of Miss Distance in Gun Fire Control System. 485-488
  

• Jan Gorodkin, Lars Kai Hansen, Benny Lautrup, Sara A. Solla:
  Universal Distribution of Saliencies for Pruning in Layered Neural Networks. 489-498
  
• T. P. Fredman, Henrik Saxén:
  On a Recurrent Neural Network Producing Oscillations. 499-508
  
• Yan Li, A. B. Rad:
  A Cascading Structure and Training Method for Multilayer Neural Networks. 509-515
  
• Yiu-ming Cheung, Wai-Man Leung, Lei Xu:
  Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment. 517-534
  
• David A. Elizondo, Emile Fiesler:
  A Survey of Partially Connected Neural Networks. 535-558
  
• Alan F. Murray, Robin Woodburn:
  The Prospects for Analogue Neural VLSI. 559-579
  
• Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, Gunnar von Heijne:
  A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites. 581-599
  
• Petteri Pajunen, Juha Karhunen:
  Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA. 601-612
  
• Jules Vleugels, Joost N. Kok, Mark H. Overmars:
  Motion Planning with Complete Knowledge Using a Colored Som. 613-628
  
• Edoardo Amaldi, Bertrand Guenin:
  Two Constructive Methods for Designing Compact Feedforward Networks of Threshold Units. 629-645
  
• Andrea Pelagotti, Vincenzo Piuri:
  Entropic Analysis and Incremental Synthesis of Multilayered Feedforward Neural Networks. 647-659
  
• Mark Girolami, Colin Fyfe:
  Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm. 661-678
  

• Paul W. Munro:
  Book Review: "Mind: Introduction to Cognitive Science", by Paul Thagard. 679-682
  
• H. K. Nishihara:
  Book Review: "High-Level Vision: Object Recognition and Visual Cognition". 683-685