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» Extracting Propositions from Trained Neural Networks
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IJCSA
2007
100views more  IJCSA 2007»
14 years 9 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
EPIA
2003
Springer
15 years 2 months ago
Evolutionary Neuroestimation of Fitness Functions
Abstract. One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in ...
Jesús S. Aguilar-Ruiz, Daniel Mateos, Domin...
65
Voted
IWANN
2001
Springer
15 years 2 months ago
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction
Abstract. In this paper we address the problem of blind source extraction of a subset of “interesting” independent sources from a linear convolutive or instantaneous mixture. T...
Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari
73
Voted
ICANN
2001
Springer
15 years 2 months ago
Feature Extraction Using ICA
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Nojun Kwak, Chong-Ho Choi, Jin-Young Choi
IWANN
2009
Springer
15 years 4 months ago
Special Time Series Prediction: Creep of Concrete
This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm,
Juan L. Pérez, Fernando Martínez Abe...