SOFTCO
2004
Springer
13 years 9 months ago
2004
Springer
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
SOFTCO
2004
Springer
13 years 9 months ago
2004
Springer
The computational identification of genes in DNA sequences has become an issue of crucial importance due to the large number of DNA molecules being currently sequenced. We present ...
ROBOCUP
2004
Springer
13 years 9 months ago
2004
Springer
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
MATES
2004
Springer
13 years 9 months ago
2004
Springer
The article presents a general model of the emergence of social order in multi-agent-systems (MAS). The agents consist of two types of neural networks that have the task to generat...
ISNN
2004
Springer
13 years 9 months ago
2004
Springer
Abstract. In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These condi...
ISNN
2004
Springer
13 years 9 months ago
2004
Springer
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
ISNN
2004
Springer
13 years 9 months ago
2004
Springer
This paper presents a preliminary study on the nonlinear approximation capability of feedforward neural networks (FNNs) via a geometric approach. Three simplest FNNs with at most f...
ICAISC
2004
Springer
13 years 9 months ago
2004
Springer
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
GECCO
2004
Springer
13 years 9 months ago
2004
Springer
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
GECCO
2004
Springer
13 years 9 months ago
2004
Springer
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...