385 search results - page 38 / 77 » On higher-order perceptron algorithms |
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
EUSFLAT
2009
13 years 6 months ago
2009
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
AUSAI
2005
Springer
14 years 2 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
ICTAI
2006
IEEE
14 years 2 months ago
2006
IEEE
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...