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CONIELECOMP
2006
IEEE
15 years 4 months 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»
14 years 10 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
IWANN
1995
Springer
15 years 1 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...
IWANN
2005
Springer
15 years 3 months ago
Modeling Neural Processes in Lindenmayer Systems
Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell...
Carlos Martín-Vide, Tseren-Onolt Ishdorj
ISNN
2005
Springer
15 years 3 months ago
Internet Traffic Prediction by W-Boost: Classification and Regression
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic m...
Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen