1. Editorial

   • S. R. Parker
   • A. H. Zemanian

   EditorialNotes Pages: 151 - 151

2. Preface

   • W. A. Porter
   • S. C. Kak

   EditorialNotes Pages: 153 - 154

3. Rapid backpropagation learning algorithms

   • Sung -Bae Cho
   • Jin H. Kim

   OriginalPaper Pages: 155 - 175

4. Morphology neural networks: An introduction with applications

   • Jennifer L. Davidson
   • Frank Hummer

   OriginalPaper Pages: 177 - 210

5. Robustness of representations in multilayer feedforward neural networks

   • Phil Diamond
   • Igor V. Fomenko

   OriginalPaper Pages: 211 - 221

6. Parallel, self-organizing, hierarchical neural networks with forward-backward training

   • S. -W. Deng
   • O. K. Ersoy

   OriginalPaper Pages: 223 - 246

7. A neural network approach to the traffic control problem in reverse baseline networks

   • K. T. Sun
   • H. C. Fu

   OriginalPaper Pages: 247 - 261

8. Feedback neural networks: new characteristics and a generalization

   • Subhash C. Kak

   OriginalPaper Pages: 263 - 278

9. Approximating nonlinear fading-memory operators using neural network models

   • Michael B. Matthews

   OriginalPaper Pages: 279 - 307

10. Recent progress on higher order moment neural arrays

    • William A. Porter

    OriginalPaper Pages: 309 - 329

11. Neural network constructive algorithms: Trading generalization for learning efficiency?

    • F. J. Śmieja

    OriginalPaper Pages: 331 - 374