Name
Title | ||
|---|---|---|
A Generic Formulation of Neural Nets as a Model of Parallel and Self-Programming Computation |
Abstract | ||
|---|---|---|
In the same way the more conventional fields of computer science need some theory, including the mathematical foundations of the calculus and the establishment of formal models, neural computation also needs its own. The basic requirements of this model are modularity, “small grain”, high connectivity, parametric local computation and some capacity of self-programming by means of the adjustment of these parameters. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/BFb0032477 | IWANN |
Keywords | Field | DocType |
neural nets,self-programming computation,generic formulation,neural net | Computer science,Models of neural computation,Theoretical computer science,Parametric statistics,Artificial intelligence,Artificial neural network,Machine learning,Modularity,Computation | Conference |
Volume | ISSN | ISBN |
1240 | 0302-9743 | 3-540-63047-3 |
Citations | PageRank | References |
8 | 0.86 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Mira | 1 | 543 | 71.44 |
| Juan Carlos Herrero | 2 | 17 | 3.42 |
| Ana E. Delgado García | 3 | 87 | 10.85 |