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» Adaptive fuzzy modeling versus artificial neural networks
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ENVSOFT
2008
115views more  ENVSOFT 2008»
13 years 11 months ago
Adaptive fuzzy modeling versus artificial neural networks
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...
Ralf Wieland, Wilfried Mirschel
ITCC
2005
IEEE
14 years 4 months ago
Real Stock Trading Using Soft Computing Models
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M...
JUCS
2008
181views more  JUCS 2008»
13 years 11 months ago
An IP Core and GUI for Implementing Multilayer Perceptron with a Fuzzy Activation Function on Configurable Logic Devices
: This paper describes the development of an Intellectual Property (IP) core in VHDL able to implement a Multilayer Perceptron (MLP) artificial neural network (ANN) topology with u...
Alfredo Rosado Muñoz, Luis Gómez-Cho...
DSS
2006
118views more  DSS 2006»
13 years 11 months ago
Part family formation through fuzzy ART2 neural network
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a n...
R. J. Kuo, Y. T. Su, C. Y. Chiu, Kai-Ying Chen, Fa...
IJCNN
2008
IEEE
14 years 5 months ago
Fuzzy Adaptive Resonance Theory Combining Overlapped Category in consideration of connections
Abstract— Adaptive Resonance Theory (ART) is an unsupervised neural network. Fuzzy ART (FART) is a variation of ART, allows both binary and continuous input patterns. However, Fu...
Haruka Isawa, Haruna Matsushita, Yoshifumi Nishio