4088 search results - page 614 / 818 » Bitwise Neural Networks |
ECAL
2001
Springer
14 years 2 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
ICMCS
2000
IEEE
14 years 2 months ago
2000
IEEE
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
KES
2000
Springer
14 years 1 months ago
2000
Springer
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
ICONIP
2007
13 years 11 months ago
2007
Abstract. In neural networks, network faults can be exhibited in different forms, such as node fault and weight fault. One kind of weight faults is due to the hardware or software ...
FLAIRS
2004
13 years 11 months ago
2004
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...