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Advanced applications of APL: logic programming, neural networks, and hypertext
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Time Series Analysis, Forecasting and Control
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Early bankruptcy detection using neural networks
APL '95 Proceedings of the international conference on Applied programming languages
An extended evaluation framework for neural network publications in sales forecasting
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Improving artificial neural networks' performance in seasonal time series forecasting
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
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ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Effective feature preprocessing for time series forecasting
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Temporal data mining for smart homes
Designing Smart Homes
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Artificial neural networks are suitable for many tasks in pattern recognition and machine learning. In this paper we present an APL system for forecasting univariate time series with artificial neural networks. Unlike conventional techniques for time series analysis, an artificial neural network needs little information about the time series data and can be applied to a broad range of problems. However, the problem of network “tuning” remains: parameters of the backpropagation algorithm as well as the network topology need to be adjusted for optimal performances. For our application, we conducted experiments to find the right parameters for a forecasting network. The artificial neural networks that were found delivered a better forecasting performance than results obtained by the well known ARIMA technique.