This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
This paper investigates possible connection strategies in sparsely connected associative memory models. This is interesting because real neural networks must have both efficient p...
We study the use of neural network algorithms in surface reconstruction from an unorganized point cloud, and meshing of an implicit surface. We found that for such applications, t...
Ioannis P. Ivrissimtzis, Won-Ki Jeong, Hans-Peter ...
The model here proposed simulates the development of the object recognition capability, assuming that recognition does not imply any sort of explicit geometrical reconstruction and...