748 search results - page 29 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
IJON
2008
13 years 7 months ago
2008
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
ICML
2000
IEEE
13 years 11 months ago
2000
IEEE
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
ESWA
2008
13 years 7 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
KAIS
2000
13 years 7 months ago
2000
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only on...