869 search results - page 79 / 174 » An Effective Learning Method for Max-Min Neural Networks |
NPL
2000
14 years 11 months ago
2000
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
IWINAC
2005
Springer
15 years 5 months ago
2005
Springer
Fuel moisture content (FMC) is one of the variables that drive fire danger. Artificial Neural Networks (ANN) were tested to estimate FMC by calculating the two variables implicat...
IJON
2007
14 years 11 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...
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ICANN
2001
Springer
15 years 4 months ago
2001
Springer
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
GECCO
2005
Springer
15 years 5 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...