1707 search results - page 54 / 342 » Modeling spiking neural networks |
ICNC
2005
Springer
14 years 3 months ago
2005
Springer
This paper incorporates robustness into neural network modeling and proposes a novel two-phase robustness analysis approach for determining the optimal feedforward neural network (...
JCIT
2010
13 years 4 months ago
2010
Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the art...
Book
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
IJCNN
2006
IEEE
14 years 4 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...
NN
2000
Springer
13 years 10 months ago
2000
Springer
While sophisticated neural networks and graphical models have been developed for predicting conditional probabilities in a non-stationary environment, major improvements in the tr...