626 search results - page 43 / 126 » Evolving Artificial Neural Networks that Develop in Time |
117
Voted
ISNN
2005
Springer
15 years 6 months ago
2005
Springer
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
96
Voted
ICANN
2010
Springer
15 years 23 days ago
2010
Springer
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
ICONIP
2004
15 years 2 months ago
2004
We studied the dynamics of a neural network which have both of recurrent excitatory and random inhibitory connections. Neurons started to become active when a relatively weak trans...
92
Voted
GECCO
2009
Springer
15 years 7 months ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
85
Voted
IJCNN
2007
IEEE
15 years 7 months ago
2007
IEEE
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...