EUSFLAT
2009
13 years 9 months ago
2009
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
FSS
2002
13 years 11 months ago
2002
Hybrid neuro-fuzzy systems have been in evidence during the past few years, due to its attractive combination of the learning capacity of arti
CII
2006
13 years 11 months ago
2006
The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neurofuzzy technics seem...
HIS
2004
14 years 25 days ago
2004
: This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
ACSW
2004
14 years 25 days ago
2004
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
FSKD
2006
Springer
14 years 3 months ago
2006
Springer
Data mining tools generally deal with highly structured and precise data. However, classical methods fail to handle imprecise or uncertain information. This paper proposes a neuro-...
GECCO
2010
Springer
14 years 4 months ago
2010
Springer
Cardiomyopathy refers to diseases of the heart muscle that becomes enlarged, thick, or rigid. These changes affect the electrical stability of the myocardial cells, which in turn ...
ICTAI
2005
IEEE
14 years 5 months ago
2005
IEEE
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...