748 search results - page 41 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
HIS
2001
13 years 8 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
CAMP
2005
IEEE
14 years 1 months ago
2005
IEEE
— For a peer-to-peer (P2P) system holding massive amount of data, an efficient and scalable search for resource sharing is a key determinant to its practical usage. Unstructured...
ATAL
2009
Springer
13 years 5 months ago
2009
Springer
In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
IDEAL
2004
Springer
14 years 23 days ago
2004
Springer
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...