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» Time Series Prediction by Perturbed Fuzzy Model
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FSS
2006
154views more  FSS 2006»
14 years 9 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....
IWANN
2005
Springer
15 years 2 months ago
Input Selection for Long-Term Prediction of Time Series
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...
Jarkko Tikka, Jaakko Hollmén, Amaury Lendas...
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
14 years 4 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
IDA
2003
Springer
15 years 2 months ago
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...
Carla S. Möller-Levet, Frank Klawonn, Kwang-H...
ESANN
2006
14 years 10 months ago
EM-algorithm for training of state-space models with application to time series prediction
In this paper, an improvement to the E step of the EM algorithm for nonlinear state-space models is presented. We also propose strategies for model structure selection when the EM-...
Elia Liitiäinen, Nima Reyhani, Amaury Lendass...