239 search results - page 12 / 48 » Evolving Multilayer Perceptrons |
IJON
2010
13 years 2 months ago
2010
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
TNN
2008
13 years 7 months ago
2008
In this paper, it is found that the weights of a perceptron are bounded for all initial weights if there exists a nonempty set of initial weights that the weights of the perceptron...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
A split quaternion learning algorithm for the training of nonlinear finite impulse response filters for the modelling of hypercomplex signals is proposed. A rigorous derivation ...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We present a novel classification model that is formulated as a ratio of semi-definite polynomials. We derive an efficient learning algorithm for this classifier, and apply it...
IBPRIA
2003
Springer
14 years 22 days ago
2003
Springer
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...