909 search results - page 121 / 182 » Introduction to artificial neural networks |
ECAL
2001
Springer
14 years 14 days 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 ...
FLAIRS
2004
13 years 9 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...
HAIS
2010
Springer
14 years 23 days ago
2010
Springer
Abstract. Accurate and swift responses are crucial to Intrusion Detection Systems (IDSs), especially if automatic abortion mechanisms are running. In keeping with this idea, this w...
CEC
2007
IEEE
14 years 2 months ago
2007
IEEE
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
IEAAIE
2004
Springer
14 years 1 months ago
2004
Springer
This paper investigates the suitability of linear genetic programming (LGP) technique to model efficient intrusion detection systems, while comparing its performance with artificia...