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ISDA
2009
IEEE
14 years 3 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
LION
2009
Springer
129views Optimization» more  LION 2009»
14 years 2 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 1 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
ICONIP
1998
13 years 9 months ago
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
Nikola K. Kasabov
ASPDAC
2005
ACM
90views Hardware» more  ASPDAC 2005»
13 years 10 months ago
Register placement for low power clock network
In modern VLSI designs, the increasingly severe power problem requests to minimize clock routing wirelength so that both power consumption and power supply noise can be alleviated...
Yongqiang Lu, Cliff C. N. Sze, Xianlong Hong, Qian...