Abstract
We give a necessary condition that a simple recurrent neural network with two sigmoidal hidden units to implement a recognizer of the formal language {a n b n
| Original language | English |
|---|---|
| Title of host publication | Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers |
| Pages | 436-445 |
| Number of pages | 10 |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - 2008 Oct 27 |
| Event | 14th International Conference on Neural Information Processing, ICONIP 2007 - Kitakyushu, Japan Duration: 2007 Nov 13 → 2007 Nov 16 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 4984 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 14th International Conference on Neural Information Processing, ICONIP 2007 |
|---|---|
| Country | Japan |
| City | Kitakyushu |
| Period | 07/11/13 → 07/11/16 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
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Iwata, A., Shinozawa, Y., & Sakurai, A. (2008). A characterization of simple recurrent neural networks with two hidden units as a language recognizer. In Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers (PART 1 ed., pp. 436-445). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4984 LNCS, No. PART 1). https://doi.org/10.1007/978-3-540-69158-7_46