Neural network estimation of balance control during locomotion
β Scribed by Michael E. Hahn; Arthur M. Farley; Victor Lin; Li-Shan Chou
- Book ID
- 108159236
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 224 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0021-9290
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this contribution, the suitability of the artificial neural network methodology for solving some process engineering problems is discussed. First the concepts involved in the formulation of artificial neural networks are presented. Next the suitability of the technique to provide estimates of dif
In this paper we consider some classical control theoretic properties of a nonlinear neural network proposed by OΔuztΓΆreli (1979) to represent the activities of constituent neurones in terms of the input signals and coupling (associative) properties. By breaking the network into linear and nonlinear