224 search results - page 14 / 45 » Artificial Neural Networks to Predict Daylily Hybrids |
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
ICAPR
2001
Springer
14 years 1 months ago
2001
Springer
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
FLAIRS
2003
13 years 10 months ago
2003
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
JDCTA
2010
13 years 3 months ago
2010
The method of improved wavelet transform neural network based on hybrid GA(genetic algorithm) is presented to diagnose rolling bearings faults in this paper. Genetic Artificial Ne...
FLAIRS
1998
13 years 10 months ago
1998
Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...