The main contribution of this report is the suggestion, development, and trial of a new way of using a Hopfield network for classification. Rather than storing the members of the training sets (sets of exemplars) as stable points, a connection matrix is determined, using perceptron-type learning, su
โฆ LIBER โฆ
Neural-network control of building structures by a force-matching training scheme
โ Scribed by D. A. Liut; E. E. Matheu; M. P. Singh; D. T. Mook
- Book ID
- 119977119
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 254 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0098-8847
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A method for training recurrent neural n
โ
Roelof K. Brouwer
๐
Article
๐
1995
๐
Elsevier Science
๐
English
โ 644 KB
Adaptation learning control scheme for a
โ
Rubaai, A.; Kotaru, R.
๐
Article
๐
2001
๐
IEEE
๐
English
โ 289 KB
Equilibrium point control of a monkey ar
โ
Menashe Dornay; Terence D. Sanger
๐
Article
๐
1993
๐
Springer-Verlag
๐
English
โ 979 KB
A planar 17 muscle model of the monkey's arm based on realistic biomechanical measurements was simulated on a Symbolics Lisp Machine. The simulator implements the equilibrium point hypothesis for the control of arm movements. Given initial and final desired positions, it generates a minimum-jerk des
[IEEE 34th Annual Meeting of the IEEE In
โ
Rubaai, A.; Kotaru, R.
๐
Article
๐
1999
๐
IEEE
โ 645 KB