NCA
2006
IEEE
14 years 11 days ago
2006
IEEE
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
JCIT
2008
14 years 12 days ago
2008
In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model th...
IJAR
2006
14 years 12 days ago
2006
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
GPEM
2006
14 years 12 days ago
2006
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...
ESWA
2006
14 years 13 days ago
2006
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
EOR
2006
14 years 13 days ago
2006
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
IJCINI
2008
14 years 13 days ago
2008
An artificial neural network was trained to classify musical chords into four categories--major, dominant seventh, minor, or diminished seventh--independent of musical key. After ...
DSS
2008
14 years 15 days ago
2008
This study shows how artificial neural networks can be used to model consumer choice. Our study focuses on two key issues in neural network modeling
BMCBI
2008
14 years 16 days ago
2008
Background: Few genetic factors predisposing to the sporadic form of amyotrophic lateral sclerosis (ALS) have been identified, but the pathology itself seems to be a true multifac...
BIB
2008
14 years 16 days ago
2008
Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...