909 search results - page 73 / 182 » Introduction to artificial neural networks |
IWANN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. This paper presents a study in which a new technique for automatically developing Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is com...
FLAIRS
2000
13 years 9 months ago
2000
This paper discusses the empirical evaluation of improving generalization performance of neural networks by systematic treatment of training and test failures. As a result of syst...
CEC
2007
IEEE
14 years 2 months ago
2007
IEEE
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm,
AMC
2005
13 years 8 months ago
2005
We introduce a novel way of measuring the entropy of a set of values undergoing changes. Such a measure becomes useful when analyzing the temporal development of an algorithm desi...