374 search results - page 1 / 75 » Training the random neural network using quasi-Newton method... |
EOR
2000
13 years 4 months ago
2000
Training in the random neural network (RNN) is generally speci
IJIT
2004
13 years 5 months ago
2004
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
IJCAI
1997
13 years 5 months ago
1997
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
OL
2011
12 years 11 months ago
2011
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
ISDA
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fu...