872 search results - page 152 / 175 » Evolving Complex Neural Networks |
106
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GECCO
2008
Springer
15 years 28 days ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
HYBRID
1998
Springer
15 years 4 months ago
1998
Springer
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
107
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EAAI
2006
14 years 12 months ago
2006
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
ML
2006
ACM
14 years 11 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
IJON
2002
14 years 11 months ago
2002
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...