Add to ORKGKohonen self-organisation maps are a well know classification tool, commonly used in a wide variety of problems, but with limited applications in time series forecasting context. In this paper, we propose a forecasting method specifically designed for multi-dimensional long-term trends prediction, with a double application of the Kohonen algorithm. Practical applications of the method are also presented. # 2005 Elsevier B.V. All rights reserved
Time series prediction is a complex problem that consists of forecasting the future behavior of a se...
The increasing availability of large amounts of historical data and the need of performing accurate ...
In an attempt to implement long-term time series prediction based on the recursive application of a ...
Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety ...
Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety ...
The Kohonen self-organization map is usually considered as a classification or clustering tool, with...
à la suite de la conférence ANNPR, Florence 2003International audienceKohonen self-organisation maps...
In this paper, we propose a generic non-linear approach for time series forecasting. The main featur...
A la suite de la conférence WSOM 03 à KitakiushuInternational audienceThe Kohonen self-organization ...
Abstract. In this paper, we propose a generic non-linear approach for time series forecasting. The m...
Many time series forecasting problems require the estimation of possibly inaccurate, but longterm, t...
Abstract--- Many time series forecasting problems require the estimation of possibly inaccurate, but...
Abstract: The Kohonen algorithm has very interesting properties of self organization, which are wide...
Time Series Forecasting is vital for wide range of domains such as financial market forecasting, ear...
Abstract: In this paper, the concept of a long memory system for forecasting is developed. Pattern m...
Time series prediction is a complex problem that consists of forecasting the future behavior of a se...
The increasing availability of large amounts of historical data and the need of performing accurate ...
In an attempt to implement long-term time series prediction based on the recursive application of a ...
Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety ...
Kohonen self-organisation maps are a well know classification tool, commonly used in a wide variety ...
The Kohonen self-organization map is usually considered as a classification or clustering tool, with...
à la suite de la conférence ANNPR, Florence 2003International audienceKohonen self-organisation maps...
In this paper, we propose a generic non-linear approach for time series forecasting. The main featur...
A la suite de la conférence WSOM 03 à KitakiushuInternational audienceThe Kohonen self-organization ...
Abstract. In this paper, we propose a generic non-linear approach for time series forecasting. The m...
Many time series forecasting problems require the estimation of possibly inaccurate, but longterm, t...
Abstract--- Many time series forecasting problems require the estimation of possibly inaccurate, but...
Abstract: The Kohonen algorithm has very interesting properties of self organization, which are wide...
Time Series Forecasting is vital for wide range of domains such as financial market forecasting, ear...
Abstract: In this paper, the concept of a long memory system for forecasting is developed. Pattern m...
Time series prediction is a complex problem that consists of forecasting the future behavior of a se...
The increasing availability of large amounts of historical data and the need of performing accurate ...
In an attempt to implement long-term time series prediction based on the recursive application of a ...