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» Genetic Algorithms for the Design of Fuzzy Neural Networks
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FUZZY
1997
Springer
260views Fuzzy Logic» more  FUZZY 1997»
13 years 11 months ago
Forecasting Sales Using Neural Networks
Abstract. In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on it...
Frank M. Thiesing, Oliver Vornberger
ACIIDS
2009
IEEE
105views Database» more  ACIIDS 2009»
13 years 5 months ago
Stability Analysis of Fuzzy Control for Nonlinear Systems
In this study, we propose a method of stability analysis for a GA-Based reference ANNC capable of handling these types of problems for a nonlinear system. The initial values of the...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Shu-Hao Lin
ESANN
2006
13 years 8 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
EUSFLAT
2001
108views Fuzzy Logic» more  EUSFLAT 2001»
13 years 8 months ago
Intelligent modelling of the indoor climate in buildings by soft computing
The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to pro...
Alexander Gegov
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 25 days ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia