The dynamical behaviour of an optimizing neural network is closely related to its parameters. For the transiently chaotic neural network (TCNN), the temperature, i.e., self-feedback weighting, is an important parameter for the network performance. While a high temperature is required to investigate
โฆ LIBER โฆ
A transiently chaotic neural-network implementation of the CDMA multiuser detector
โ Scribed by Baoyun Wang; Jingnan Nie; Zhenya He
- Book ID
- 118135342
- Publisher
- IEEE
- Year
- 1999
- Tongue
- English
- Weight
- 105 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1045-9227
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consider the dynamic behavior of the transiently chaotic neural network (TCNN). Although its dynamical behavior is of interest in investigating neural dynamics, we observed that the chaotic phase in a TCNN is not a necessary condition for the network to reach the global solution for a combinatorial
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