883 search results - page 52 / 177 » Unsupervised learning in neural computation |
ICIC
2007
Springer
14 years 2 months ago
2007
Springer
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
SYNASC
2005
IEEE
14 years 2 months ago
2005
IEEE
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
NCA
2007
IEEE
13 years 8 months ago
2007
IEEE
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
FLAIRS
2004
13 years 10 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
NCA
2007
IEEE
13 years 8 months ago
2007
IEEE
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...