143 search results - page 26 / 29 » Trend Time-Series Modeling and Forecasting With Neural Netwo... |
ESWA
2008
13 years 7 months ago
2008
Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have b...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper we introduce a novel technique for modeling and recognizing gesture signals in 2D space. This technique is based on measuring the direction of the gradient of the mo...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Artificial neural networks have proved an attractive approach to non-linear regression problems arising in environmental modelling, such as statistical downscaling, sh...
ISNN
2004
Springer
14 years 1 months ago
2004
Springer
A reliable correlation between rainfall-runoff enables the local authority to gain more amble time for formulation of appropriate decision making, issuance of an advanced flood for...