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TNN
2010
174views Management» more  TNN 2010»
9 years 11 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
FSS
2007
116views more  FSS 2007»
10 years 4 months ago
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences
In this work we will explore the theoretical connections existing between fuzzy rule-based systems (FRBS) applied on univariate time series and two statistical reference tools, th...
José Luis Aznarte, José Manuel Ben&i...
FSS
2006
154views more  FSS 2006»
10 years 4 months ago
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction
In this paper, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis function network and a fuzzy infer...
Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P....
TCS
2011
9 years 11 months ago
On the relationship between fuzzy and Boolean cellular automata
Fuzzy cellular automata (FCA) are continuous cellular automata where the local rule is defined as the “fuzzification" of the local rule of a corresponding Boolean cellula...
Heather Betel, Paola Flocchini
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
10 years 4 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
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