Journals in DBLP

Neural Networks
1993, volume: 6, number: 6

1. Brendan L. Rogers
   New conditioned stimulus trace circuit for the rabbit's nictitating membrane response. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:753-769 [Journal]
   
2. William Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann
   Improving model selection by nonconvergent methods. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:771-783 [Journal]
   
3. Hubertus M. A. Andree, Gerard T. Barkema, Wim Lourens, Arie Taal, Jos C. Vermeulen
   A comparison study of binary feedforward neural networks and digital circuits. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:785-790 [Journal]
   
4. Faouzi Bouslama, Akira Ichikawa
   Application of neural networks to fuzzy control. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:791-799 [Journal]
   
5. Ken-ichi Funahashi, Yuichi Nakamura
   Approximation of dynamical systems by continuous time recurrent neural networks. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:801-806 [Journal]
   
6. Thierry Catfolis
   A method for improving the real-time recurrent learning algorithm. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:807-821 [Journal]
   
7. Mark D. Plumbley
   Efficient information transfer and anti-Hebbian neural networks. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:823-833 [Journal]
   
8. Pierre Courrieu
   A convergent generator of neural networks. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:835-844 [Journal]
   
9. Ali A. Minai, Ronald D. Williams
   On the derivatives of the sigmoid. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 1993, v:6, n:6, pp:845-853 [Journal]
   
10. Masahiko Arai
    Bounds on the number of hidden units in binary-valued three-layer neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:6, pp:855-860 [Journal]
    
11. Moshe Leshno, Vladimir Ya. Lin, Allan Pinkus, Shimon Schocken
    Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:6, pp:861-867 [Journal]
    
12. Shashank K. Mehta, Laszlo Fulop
    An analog neural network to solve the hamiltonian cycle problem. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:6, pp:869-881 [Journal]
    
13. 
    Conferences on neural networks and related topics. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:6, pp:883-893 [Journal]