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ICTAI
2005
IEEE
14 years 3 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ITIIS
2010
138views more  ITIIS 2010»
13 years 4 months ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
IJKESDP
2010
60views more  IJKESDP 2010»
13 years 8 months ago
Portfolio selection problems with normal mixture distributions including fuzziness
— In this paper, several portfolio selection problems with normal mixture distributions including fuzziness are proposed. Until now, many researchers have proposed portfolio mode...
Takashi Hasuike, Hiroaki Ishii
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 2 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
ICCAD
2006
IEEE
141views Hardware» more  ICCAD 2006»
14 years 6 months ago
Design optimization for single-event upset robustness using simultaneous dual-VDD and sizing techniques
An optimization algorithm for the design of combinational circuits that are robust to single-event upsets (SEUs) is described. A simple, highly accurate model for the SEU robustne...
Mihir R. Choudhury, Quming Zhou, Kartik Mohanram