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Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
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Type: BOOK - Published: 2022-09-06 - Publisher: Springer

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The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the
Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
Language: en
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The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the
Forecasting: principles and practice
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Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic
Non-Linear Time Series
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This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of th
Artificial Neural Networks and Machine Learning -- ICANN 2013
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The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013.