160 search results - page 8 / 32 » Nonlinear hybrid system identification with kernel models |
102
Voted
SIMPRA
2008
14 years 11 months ago
2008
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
ATAL
2009
Springer
15 years 3 months ago
2009
Springer
Most real-world negotiation scenarios involve multiple, interdependent issues. These scenarios are specially challenging because the agents' utility functions are nonlinear, ...
101
Voted
SAC
2006
ACM
15 years 5 months ago
2006
ACM
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
HYBRID
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Nonlinearities and the lack of accurate quantitative information considerably hamper modeling and system analysis of biochemical networks. Here we propose a procedure for...