GECCO
2004
Springer
13 years 10 months ago
2004
Springer
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
ISNN
2005
Springer
13 years 10 months ago
2005
Springer
This paper considers the robust stability of neural networks with multiple delays. Based on Lyapunov stability theory and linear matrix inequality technique, some new delay indepe...
ISNN
2005
Springer
13 years 10 months ago
2005
Springer
The research of impacts between the Internet stock news (ISN) and the stock price movements emerges with the era of the popular usage of the Internet. In this paper, first, the ISN...
ISNN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
ISNN
2005
Springer
13 years 10 months ago
2005
Springer
Contextual information and a priori knowledge play important roles in image segmentation based on neural networks. This paper proposed a method for including contextual information...
ISMIR
2005
Springer
13 years 10 months ago
2005
Springer
A system that segments and labels tabla strokes from real performances is described. Performance is evaluated on a large database taken from three performers under different recor...
ILP
2005
Springer
13 years 10 months ago
2005
Springer
We introduce a novel method for relational learning with neural networks. The contributions of this paper are threefold. First, we introduce the concept of relational neural networ...
IEAAIE
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable propo...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...