Adaptive and Hybrid Forecasting Models—A Review-Reference-Cited by-同舟云学术

Adaptive and Hybrid Forecasting Models—A Review

Published:2018-09-19 Issue: Volume: Page:315-322
ISSN:2198-0772
Container-title:Lecture Notes in Management and Industrial Engineering
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Author:

Fajardo-Toro Carlos Hernán,Mula Josefa,Poler Raul

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-96005-0_38

Reference79 articles.

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2. Acosta-Cervantes MC, Villarreal-Marroquín MG, Cabrera-Ríos M (2013) Estudio de validación de un método para seleccionar técnicas de pronóstico de series de tiempo mediante redes neuronales artificiales. Ing Invest Tecnología 14:53–63

3. Adhikari R (2015) A neural network based linear ensemble framework for time series forecasting. Neurocomputing 157:231–242

4. Aksoy A, Öztürk N, Sucky E (2014) Demand forecasting for apparel manufacturers by using neuro-fuzzy techniques. J Model Manag 9:18–35

5. Aladag CH, Basaran MA, Egrioglu E et al (2009) Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Syst Appl 3:4228–4231

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