Neural Processing Letters

• 

  Año 2004, Vol. 19, Número 1

  • Improve Multi-Instance Neural Networks through Feature Selection

    M. L. Zhang, Z. H. Zhou

    págs. 1-10

    

  • On the Computational Power of Max-Min Propagation Neural Networks

    P. A. Estevez

    págs. 11-23

    

  • Ensemble Learning for Chemical Sensor Arrays

    S. Bermejo, Joan Cabestany Moncusí

    págs. 25-35

    

  • Ecological Neural Networks for Object Recognition and Generalization

    A. Di Ferdinando, R. Calabretta

    págs. 37-48

    

  • A Learning Algorithm of CMAC Based on RLS

    T. Qin, H. Zhang, Z. Chen

    págs. 49-61

    

  • Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data

    K. Tsuda

    págs. 63-72

    

  • Rough Neural Network of Variable Precision

    H. Tuo, H. Liu, Y. Liu

    págs. 73-87

    

  • Instructions for authors

    págs. 89-95