- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Parallel learning and regeneration of images using a structured recurrent neural network
Description
A recurrent neural network (RNN) has been already studied for some applications and have been also demonstrated for time series. In this paper, a new structured RNN is introduced. This network is designed with some groups of neurons and it is suitable for parallel processing and for realizing chaotic data. In particular, this network is actually implemented in a parallel computer and the performance of this network is explored for image memorizing.
Journal
-
- Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97
-
Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97 1 533-536, 2002-11-22
IEEE