30 search results - page 5 / 6 » Forecasting Time Series with a New Architecture for Polynomi... |
WSOM
2009
Springer
14 years 26 days ago
2009
Springer
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
AAAI
2004
13 years 7 months ago
2004
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
BMCBI
2006
13 years 6 months ago
2006
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
ISNN
2004
Springer
13 years 11 months ago
2004
Springer
A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
CORR
2002
Springer
13 years 6 months ago
2002
Springer
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...