225 search results - page 3 / 45 » Modeling Neural Processes in Lindenmayer Systems |
SOCO
2002
Springer
13 years 5 months ago
2002
Springer
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
ICANN
2001
Springer
13 years 10 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...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
IWANN
1999
Springer
13 years 9 months ago
1999
Springer
A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotatio...
NIPS
2000
13 years 6 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....