224 search results - page 21 / 45 » Artificial Neural Networks to Predict Daylily Hybrids |
PRICAI
2004
Springer
14 years 2 months ago
2004
Springer
This paper introduces an augmentation hybrid system, referred to as Rated MCRDR. It uses Multiple Classification Ripple Down Rules (MCRDR), a simple and effective knowledge acquisi...
HIS
2007
13 years 10 months ago
2007
The world’s demand for sugar and particularly for renewable fuels such as ethanol requires an increase in production in sugar mills. The use of artificial neural networks (ANN) ...
NN
2006
Springer
13 years 8 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
IWANN
2009
Springer
14 years 3 months ago
2009
Springer
This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm,
ISCAS
2003
IEEE
14 years 1 months ago
2003
IEEE
Wide research has been carried out and is still taking place in the field of character recognition of handwritten English characters. Recognizing English characters is much simple...