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171
Voted
GECCO
2005
Springer
16 years 17 days ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
184
Voted
CONIELECOMP
2006
IEEE
16 years 1 months ago
2006
IEEE
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
177
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ISCI
2000
15 years 6 months ago
2000
We present a new neural network-based method of image processing for determining the local composition and thickness of III
190
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ACSC
2005
IEEE
16 years 20 days ago
2005
IEEE
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...
171
Voted
IWANN
1995
Springer
15 years 10 months ago
1995
Springer
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...