762 search results - page 71 / 153 » Constructive Neural Network Learning Algorithms |
119
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FUIN
2008
15 years 2 months ago
2008
Spiking neural P systems simulate the behavior of neurons sending signals through axons. Recently, some applications concerning Boolean circuits and sorting algorithms have been pr...
118
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NIPS
1997
15 years 3 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
130
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IJCNN
2000
IEEE
15 years 5 months ago
2000
IEEE
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
120
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INFORMATICALT
2007
15 years 2 months ago
2007
The objective of this research is to construct parallel models that simulate the behavior of artificial neural networks. The type of network that is simulated in this project is t...
83
Voted
ICANN
2001
Springer
15 years 6 months ago
2001
Springer
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...