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» Neural network ensembles for time series forecasting
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AAAI
2004
14 years 11 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay
104
Voted
DATAMINE
2006
224views more  DATAMINE 2006»
14 years 9 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
ICCS
2001
Springer
15 years 1 months ago
On the Predictability of Rainfall in Kerala An Application of ABF Neural Network
Abstract. Rainfall in Kerala State, the southern part of Indian Peninsula in particular is caused by the two monsoons and the two cyclones every year. In general, climate and rainf...
Ninan Sajeeth Philip, K. Babu Joseph
SBRN
2000
IEEE
15 years 1 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
EVOW
2009
Springer
15 years 4 months ago
Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...
Antonia Azzini, Célia da Costa Pereira, And...