Add to ORKGThe combination of the evolutionary and connectionist paradigms for problem solving takes a strong inspiration from living systems and is gaining an increasing attention when it comes to the development of computional systems that can handle complex and dynamic problems. One's claim is that Time Series Forecasting is a fertile domain for the test of these technologies. Therefore, a number of experiments were conducted in order to evaluate the merits or demerits of the approach, being the results compared with those obtained from the use of conventional procedures (e.g., the Holt-Winters and the ARIMA ones).Fundação para a Ciência e a Tecnologia (FCT) - Praxis (XXI/BD/13793/97
Proceeding of: 8th International Conference in Parallel Problem Solving from Nature - PPSN VIII , Bi...
In the context of time series forecasting, is great the interest in studies of forecasting methods ...
In the last decade, bio-inspired methods have gained an increasing acceptation as alternative approa...
The combination of the evolutionary and connectionist paradigms for problem solving takes a strong i...
This chapter presents a hybrid Evolutionary Computation/Neural Network combination for time series p...
The area of Time Series Forecasting (forecasting observations ordered in time) is object of attentio...
IEEE International Parallel and Distributed Processing Symposium. Long Beach, CA, 26-30 March 2007Ma...
In this present work, we provide an overview of methods for time series modelling and prediction. We...
Proceeding of: IEEE World Congress on Computational Intelligence, (WCCI 2010) / 2010 International J...
Abstract: This paper presents the use of artificial intelligence and more specifically artificial ne...
Proceeding of:IEEE World Congress on Computational Intelligence, (WCCI 2010) / 2010 International Jo...
This thesis summarizes knowledge in the field of time series theory, method for time series analysis...
Many scientific fields consider accurate and reliable forecasting methods as important decision-maki...
In the last few decades an increasing focus as been put over the field of Time Series Forecasting (T...
Alternative approaches for Time Series Forecasting (TSF) emerged from the Artificial Intelligence ar...
Proceeding of: 8th International Conference in Parallel Problem Solving from Nature - PPSN VIII , Bi...
In the context of time series forecasting, is great the interest in studies of forecasting methods ...
In the last decade, bio-inspired methods have gained an increasing acceptation as alternative approa...
The combination of the evolutionary and connectionist paradigms for problem solving takes a strong i...
This chapter presents a hybrid Evolutionary Computation/Neural Network combination for time series p...
The area of Time Series Forecasting (forecasting observations ordered in time) is object of attentio...
IEEE International Parallel and Distributed Processing Symposium. Long Beach, CA, 26-30 March 2007Ma...
In this present work, we provide an overview of methods for time series modelling and prediction. We...
Proceeding of: IEEE World Congress on Computational Intelligence, (WCCI 2010) / 2010 International J...
Abstract: This paper presents the use of artificial intelligence and more specifically artificial ne...
Proceeding of:IEEE World Congress on Computational Intelligence, (WCCI 2010) / 2010 International Jo...
This thesis summarizes knowledge in the field of time series theory, method for time series analysis...
Many scientific fields consider accurate and reliable forecasting methods as important decision-maki...
In the last few decades an increasing focus as been put over the field of Time Series Forecasting (T...
Alternative approaches for Time Series Forecasting (TSF) emerged from the Artificial Intelligence ar...
Proceeding of: 8th International Conference in Parallel Problem Solving from Nature - PPSN VIII , Bi...
In the context of time series forecasting, is great the interest in studies of forecasting methods ...
In the last decade, bio-inspired methods have gained an increasing acceptation as alternative approa...