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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 12 months ago
Nonlinear feature extraction using a neuro genetic hybrid
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...
Yung-Keun Kwon, Byung Ro Moon
CONIELECOMP
2006
IEEE
16 years 12 days ago
Chaotic Time Series Approximation Using Iterative Wavelet-Networks
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...
E. S. Garcia-Trevino, Vicente Alarcón Aquin...
ISCI
2000
153views more  ISCI 2000»
15 years 6 months ago
Neural networks for HREM image analysis
We present a new neural network-based method of image processing for determining the local composition and thickness of III
Holger Kirschner, Reinald Hillebrand
ACSC
2005
IEEE
15 years 12 months ago
Graph Grammar Encoding and Evolution of Automata Networks
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...
Martin H. Luerssen
IWANN
1995
Springer
15 years 10 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
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 ...
José Luis Bernier, Juan J. Merelo Guerv&oac...