35 search results - page 3 / 7 » Using evolution to improve neural network learning: pitfalls... |
FLAIRS
2003
13 years 7 months ago
2003
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
IJACTAICIT
2010
13 years 1 months ago
2010
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
TNN
1998
13 years 5 months ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
IWANN
2001
Springer
13 years 10 months ago
2001
Springer
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...