Sciweavers

364 search results - page 17 / 73
» Regularization Learning of Neural Networks for Generalizatio...
Sort
View
IDEAL
2005
Springer
15 years 8 months ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak
157
Voted
TNN
2010
182views Management» more  TNN 2010»
14 years 9 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
115
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Spatiotemporal Pattern Recognition via Liquid State Machines
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
Eric Goodman, Dan Ventura
112
Voted
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 9 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
110
Voted
NIPS
1990
15 years 3 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna