Connectionists: CFP - Advances in Computational Intelligence for applied Time Series Forecasting (ACIATSF) IJCNN 2017

[Cristian Rodriguez Rivero]

Call for papers: special session on "Advances in Computational Intelligence
for applied Time Series Forecasting (ACIATSF)" at IJCNN 2017

International Joint Conference on Neural Networks (IJCNN 2017).
14-19 May 2017, Anchorage, Alaska, USA - http://www.ijcnn.org/




DESCRIPTION:
Over the past few decades, application of simple statistical procedures
with considerable heuristic or judgmental input was the beginning of
forecasting, then in the 80’s, sophisticated time series models started to
be used by some of the dynamic system operators, and these approaches, were
to become pioneering works in this field.
Soft computing methods including support vectors regression (SVR), fuzzy
inference system (FIS) and artificial neural networks (ANN) to time-series
forecasting (TSF) has been growing rapidly in order to unify the field of
forecasting and to bridge the gap between theory and practice, making
forecasting useful and relevant for decision-making in many fields of the
sciences.
The purpose of this session is to hold smaller, informal meetings where
experts in a particular field of forecasting can discuss forecasting
problems, research, and solutions in the field of automatic control. There
is generally a nominal registration fee associated with attendance.
This session aims to debate in finding solutions for problems facing the
field of forecasting. We wish to hear from people working in different
research areas, practitioners, professionals and academicians involved in
this problematic.
Scope
The session seeks to foster the presentation and discussion of innovative
techniques, implementations and applications of different problems that are
Forecasting involved, specially in real-world problems applied to control
and automation.
• Time Series Analysis
• Time Series Forecasting
• Evaluation of Forecasting Methods and Approaches
• Forecasting Applications in Business, Energy and Price Demand, Hydrology
and Rainfall
• Impact of Uncertainty on Decision Making
• Seasonal Adjustment
• Multivariate Time Series Modelling and Forecasting
• Marketing Forecasting
• Economic and Econometric Forecasting


SUBMISSION:
Prospective authors must submit their paper through the IJCNN portal
following the instructions provided inhttp://www.ijcnn.org/paper-submission.
Each paper will undergo a peer reviewing process for its acceptance.

IMPORTANT DATES:
Paper submission: December 1, 2016
Paper decision notification: January 20, 2017
Camera-ready submission: February 20, 2017
All deadlines are US pacific time time, 11:59pm.
Notification of acceptance : 20 January 2017
Camera-ready submission: 20 February 2017
The IJCNN 2017 conference : 14-19 May 2017

SPECIAL SESSION ORGANISERS

Prof. Dr. Cristian Rodriguez Rivero, Universidad Nacional de Córdoba,
Argentina,
crodriguezrivero at ieee.org, IEEE CIS and INNS.

Prof. Dr. Hector Daniel Patiño, Universidad Nacional de San Juan,
Argentina,
dpatino at inaut.unsj.edu.ar.

Prof. Dr. Julian Antonio Pucheta, Universidad Nacional de Córdoba,
Argentina, jpucheta at unc.edu.ar.

Prof. Gustavo Juarez, Universidad Nacional de Tucumán, Argentina,
juarez.gustavo at ieee.org, IEEE CIS Argentinian Chapter chair.

Prof. Dr. Leonardo Franco, IEEE CIS R8, Universidad de Málaga, España,
lfranco at lcc.uma.es









Ph.D, Prof. Cristian Rodriguez Rivero
Editorial Board of International Journal of Innovative Computing and
Applications
LA-CIS Board of Directors and Steering Committee (la-cci.org)
Neural Networks Technical Committee Member IEEE CIS
cis.ieee.org/neural-networks-tc.html
Program Committee Members - IJCNN
www.ijcnn.org/program-committee
Aeronautical University Institute (IUA)
Mathematics Research Laboratory applied to Control (LIMAC)
Universidad Nacional de Córdoba
*www.inv.limac.efn.uncor.edu/?page_id=292
<http://www.inv.limac.efn.uncor.edu/?page_id=292>*,
e-mail: crodriguezrivero <crodriguezrivero at ieee.org>@ieee.org,
crivero at iua.edu.ar
TE: +54 0351 4334147 ext. 111
Cel: +54 9 351 2340641


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