Journals in DBLP

Neurocomputing
1999, volume: 29, number: 1-3

1. André Elisseeff, Hélène Paugam-Moisy
   JNN, a randomized algorithm for training multilayer networks in polynomial time. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 1999, v:29, n:1-3, pp:3-24 [Journal]
   
2. Max H. Garzon, Fernanda Botelho
   Dynamical approximation by recurrent neural networks. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 1999, v:29, n:1-3, pp:25-46 [Journal]
   
3. Paul C. Kainen, Vera Kurková, Andrew Vogt
   Approximation by neural networks is not continuous. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 1999, v:29, n:1-3, pp:47-56 [Journal]
   
4. Aleksander Kolcz, Nigel M. Allinson
   The general memory neural network and its relationship with basis function architectures. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 1999, v:29, n:1-3, pp:57-84 [Journal]
   
5. Sethu Vijayakumar, Hidemitsu Ogawa
   RKHS-based functional analysis for exact incremental learning. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 1999, v:29, n:1-3, pp:85-113 [Journal]
   
6. Nageswara S. V. Rao
   Simple sample bound for feedforward sigmoid networks with bounded weights. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 1999, v:29, n:1-3, pp:115-122 [Journal]