An emotional learning-neuro-fuzzy inference approach for optimum training and forecasting of gas consumption estimation models with cognitive data
A. Azadeh; S. M. Asadzadeh; G. H. Mirseraji; M. Saberi
| 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
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| 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 | Schätztheorie | Estimation theory | Emotion | Erdgas | Natural gas | Induktive Statistik | Statistical inference | Prognoseverfahren | Forecasting model | Regressionsanalyse | Regression analysis | Schätzung | Estimation | Kognition | Cognition | Varianzanalyse | Analysis of variance | Lernprozess | Learning process |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011317278