Dear Colleagues,
I am honoured to invite you to the very first 2nd International Web Conference on Forecasting being held on October 15-17, 2018. In IWCF, all sessions will be held completely on the web. No travel, visas, hotel bookings, registration fee or other logistical challenges will prevent you from joining.
All submitted papers will go through the blind review process for acceptance. Accepted papers will be published in the Conference Proceedings.
The language of the conference is English. The papers should be written in English, and participants should make their presentations in English.
Full papers should be 6-12 pages. Abstracts should be one page only.
Selected Papers will be invited to publish in Turkish Journal of Forecasting which is an open access journal and it is published semi-annually.
Specific questions concerning further information can be sent by e-mail to: iwcforecasting@gmail.com or webcon.forecasting@gmail.com
Prof. Dr. Erol Egrioglu
Conference Chair
Topics
Business forecasting ANFIS and other fuzzy inference systems
Demographic forecasting Fuzzy functions approaches
Energy forecasting Fuzzy regression techniques
Environmental forecasting Fuzzy arithmetic based methods
Financial forecasting Fuzzy time series (FTS) forecasting models
Legal and judgement forecasting Clustering based FTS forecasting models
Political forecasting Artificial intelligence optimization based FTS forecasting models
Technological forecasting Artificial neural networks based FTS forecasting models Artificial Neural Networks (ANNs)
The probabilistic and conventional methods Feed forward ANNs
ARIMA and related models Recurrent ANNs
ARCH and related models Different neuron models based ANNs
Nonlinear time series forecasting models High order ANNs
Threshold methods Robust learning algorithms based ANNs
Bilinear methods Hybrid Models using computational and probabilistic models
Bayesian forecasting models Forecast combination based forecasting methods
Filters and smoothing methods Ensemble techniques based forecasting methods
Time series regression Bootstrap aggregation and other resampling based forecasting methods
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