Artificial intelligence techniques involving neural networks became vital modeling tools where model dynamics are difficult to track with conventional techniques. The paper make use of the feed forward neural networks (FFNN) to model the charged multiplicity distribution of K-P interactions at high
โฆ LIBER โฆ
Two-layer tree-connected feed-forward neural network model for neural cryptography
โ Scribed by Lei, Xinyu; Liao, Xiaofeng; Chen, Fei; Huang, Tingwen
- Book ID
- 121361929
- Publisher
- The American Physical Society
- Year
- 2013
- Tongue
- English
- Weight
- 501 KB
- Volume
- 87
- Category
- Article
- ISSN
- 1063-651X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Feed forward neural networks modeling fo
โ
M.Y. El-Bakry
๐
Article
๐
2003
๐
Elsevier Science
๐
English
โ 102 KB
Feed-forward artificial neural network m
โ
Roger D. Braddock; Michael L. Kremmer; Louis Sanzogni
๐
Article
๐
1998
๐
John Wiley and Sons
๐
English
โ 202 KB
๐ 1 views
This paper presents the results of a blind test of the ability of a feed-forward artiยฎcial neural network to provide out-of-sample forecasting of rainfall run-o using real data. The results obtained are comparable with the results obtained using best methods currently available. The focus of the pap
Single-Iteration Training Algorithm for
โ
J. Barhen; R. Cogswell; V. Protopopescu
๐
Article
๐
2000
๐
Springer US
๐
English
โ 221 KB
Robustness analysis of radial base funct
โ
E.P.P.A. Derks; M.S.Sรกnchez Pastor; L.M.C. Buydens
๐
Article
๐
1995
๐
Elsevier Science
๐
English
โ 979 KB
Fuzzy Clustered Probabilistic and Multi
โ
Hassan Hamsa Haseena; Abraham T. Mathew; Joseph K. Paul
๐
Article
๐
2009
๐
Springer US
๐
English
โ 276 KB
AN OPTIMIZATION METHOD FOR THE TOPOLOGIC
โ
GAO DAQI; WU SHOUYI
๐
Article
๐
1998
๐
Elsevier Science
๐
English
โ 123 KB