224 search results - page 10 / 45 » Artificial Neural Networks to Predict Daylily Hybrids |
IJON
2007
13 years 8 months ago
2007
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
ICAISC
2004
Springer
14 years 2 months ago
2004
Springer
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative co...
TCAD
2010
13 years 3 months ago
2010
Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
JSW
2010
13 years 7 months ago
2010
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
CSB
2005
IEEE
14 years 2 months ago
2005
IEEE
Cancers in head and neck tends to spread to nearby lymph nodes. Lymph nodes trap the spreading tumor cells but then the tumor starts to grow in these nodes and then spread further...