Simulation and forecasting complex economic time series using neural networks and fuzzy logic

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2001, Pages 1805-1810

  Castillo, O ^a   Melin, P ^a  

^a TIJUANA INSTITUTE OF TECHNOLOGY   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; FORECASTING; FUZZY SETS; INDUSTRIAL ECONOMICS; LEARNING ALGORITHMS; MARKETING; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; STATISTICAL METHODS;

COMPLEX ECONOMIC TIME SERIES; LEVENBERG-MARQUARDT ALGORITHM;

NEURAL NETWORKS;

EID: 0034869305     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Nonlinear dynamics, chaos and instability
2. Automated mathematical modelling for financial time series prediction using fuzzy logic, dynamical system theory and fractal theory
3. A new fuzzy-genetic approach for the simulation and forecasting of international trade non-linear dynamics
4. Automated mathematical modelling for financial time series prediction combining fuzzy logic and fractal theory
5. Learning logic
6. Learning internal representations by error propagation
7. Structure identification of fuzzy model
8. Fuzzy identification of systems and its applications to modelling and control
9. An additional hidden unit test for neglected non-linearity in multilayer feedforward networks
10. Generation of fuzzy rules by mountain clustering
11. The concept of a linguistic variable and its application to approximate reasoning