502 search results - page 26 / 101 » Computational model for amygdala neural networks |
103
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NN
2006
Springer
15 years 1 months ago
2006
Springer
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
WSC
2001
15 years 3 months ago
2001
The research using artificial intelligence and computer simulation introduces a new approach for solving the job shop-scheduling problem. The new approach is based on the developm...
100
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IJON
2000
15 years 1 months ago
2000
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
107
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— One of the major drawbacks of the Hopfield network is that when it is applied to certain polytopes of combinatorial problems, such as the traveling salesman problem (TSP), the...
120
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EUSFLAT
2003
15 years 3 months ago
2003
Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subrout...