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Exponential Convergence of Delayed Neural Networks
- Source :
- Lecture Notes in Computer Science ISBN: 9783540283232, ICNC (1)
- Publication Year :
- 2005
- Publisher :
- Springer Berlin Heidelberg, 2005.
-
Abstract
- Several new conditions for exponential convergence of DNN were proposed in this paper. These conditions guarantee the existence and uniqueness of equilibrium of DNN with certain different activation functions. To demonstrate the differences and features of the new criteria, some remarks are presented.
- Subjects :
- Artificial neural network
Exponential stability
Computer science
business.industry
Exponential convergence
Cellular neural network
Computer Science::Neural and Evolutionary Computation
Activation function
Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)
Artificial intelligence
business
Subjects
Details
- ISBN :
- 978-3-540-28323-2
- ISBNs :
- 9783540283232
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Computer Science ISBN: 9783540283232, ICNC (1)
- Accession number :
- edsair.doi...........9841f3f19210dce9ec3aff303bc6d8c3
- Full Text :
- https://doi.org/10.1007/11539087_59