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APIN
2004
107views more  APIN 2004»
13 years 7 months ago
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
In this paper we present a new technique to simulate polymer blends that overcomes the shortcomings in polymer system modeling. This method has an inherent advantage in that the v...
N. K. Roy, Walter D. Potter, D. P. Landau
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 9 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
EH
2005
IEEE
158views Hardware» more  EH 2005»
14 years 1 months ago
Hardware Evolution of Analog Circuits for In-situ Robotic Fault-Recovery
We present a method for evolving and implementing artificial neural networks (ANNs) on Field Programmable Analog Arrays (FPAAs). These FPAAs offer the small size and low power usa...
Dmitry Berenson, Nicolás S. Estévez,...
ISDA
2009
IEEE
14 years 2 months ago
A Fuzzy Wavelet Neural Network Model for System Identification
In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fu...
Sevcan Yilmaz, Yusuf Oysal
BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy