Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
IEEE Transactions on Neural Networks
View through Europeana Collections
The long short-term memory (LSTM) is not the only neural network which learns a context sensitive language. Second-order sequential cascaded networks (SCNs) are able to induce means from a finite fragment of a context-sensitive language for processing strings outside the training set. The dynamical behavior of the SCN is qualitatively distinct from that observed in LSTM networks. Differences in performance and dynamics are discussed.
Title: IEEE Transactions on Neural Networks
Description:
The long short-term memory (LSTM) is not the only neural network which learns a context sensitive language.
Second-order sequential cascaded networks (SCNs) are able to induce means from a finite fragment of a context-sensitive language for processing strings outside the training set.
The dynamical behavior of the SCN is qualitatively distinct from that observed in LSTM networks.
Differences in performance and dynamics are discussed.
Related Results
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
Modelado de un Recuperador Dinámico de Tensión para el Mejoramiento de la Calidad de la Onda de Tensión
Modelado de un Recuperador Dinámico de Tensión para el Mejoramiento de la Calidad de la Onda de Tensión
[1] R. C. Dugan, H. W. Beaty, y S. Santoso, Electrical Power Systems Quality, Third edition. Tata McGraw Hill Education, 2012.[2] J. Arrilaga y N. R. Watson, Powe...
A Survey Non-Terrestrial Networks in 6G/ 7G Smart Network for 2035+ and Beyond
A Survey Non-Terrestrial Networks in 6G/ 7G Smart Network for 2035+ and Beyond
3GPP TR 38.821, “Solutions for NR to support non-terrestrial networks (NTN),” Release 16, Jan. 2020. [Online]. Available: https://www.3gpp.org/.
P. K. Chowdhury, M. Atiquzzaman, W....
Fuzzy Chaotic Neural Networks
Fuzzy Chaotic Neural Networks
An understanding of the human brain’s local function has improved in recent years. But the cognition of human brain’s working process as a whole is still obscure. Both fuzzy logic ...
ACM SIGCOMM computer communication review
ACM SIGCOMM computer communication review
At some point in the future, how far out we do not exactly know, wireless access to the Internet will outstrip all other forms of access bringing the freedom of mobility to the way...
NEURAL NETWORKS AND DEEP LEARNING: THEORITICAL INSIGHTS AND FRAMEWORKS
NEURAL NETWORKS AND DEEP LEARNING: THEORITICAL INSIGHTS AND FRAMEWORKS
“NEURAL NETWORKS AND DEEP LEARNING: THEORITICAL INSIGHTS AND FRAMEWORKS” is a comprehensive guide that dives deep into the world of neural networks and their applications in modern...
On the role of network dynamics for information processing in artificial and biological neural networks
On the role of network dynamics for information processing in artificial and biological neural networks
Understanding how interactions in complex systems give rise to various collective behaviours has been of interest for researchers across a wide range of fields. However, despite ma...
Artificial neural network for the recognition of human emotions under a backpropagation algorithm
Artificial neural network for the recognition of human emotions under a backpropagation algorithm
The era of the technological revolution increasingly encourages the development of technologies that facilitate in one way or another people's daily activities, thus generating a g...