An emotional learning-neuro-fuzzy inference approach for optimum training and forecasting of gas consumption estimation models with cognitive data
Year of publication: |
2015
|
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Authors: | Azadeh, Mohammad Ali ; Asadzadeh, Seyed Mohammad ; Mirseraji, Gholam Hosein ; Saberi, Mortezza |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 91.2015, p. 47-63
|
Subject: | Emotional learning fuzzy inference system (ELFIS) | Natural gas demand | Adaptive neuro-fuzzy inference system (ANFIS) | Conventional regression | Artificial neural network (ANN) | Analysis of variance (ANOVA) | Optimization | Neuronale Netze | Neural networks | Fuzzy-Set-Theorie | Fuzzy sets | Emotion | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Erdgas | Natural gas | Induktive Statistik | Statistical inference | Kognition | Cognition |
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