32nd EUROPEAN Conference on Modelling and Simulation

ISSN 2522-2422 (ONLINE) - ISSN 2522-2414 (Print) - ISSN 2522-2430 (CD-ROM)

ECMS 2018
                     

May 22nd - May 25th, 2018
Wilhelmshaven, Germany

 

Intelligent Systems (IS) 

ECMS papers are listed in DBLP, SCOPUS, ISI, INSPEC and DOI


 Jade Hochschule of Applied Science Wilhelmshaven
ŠJade
University

 

Banter See, Haven, Part of the city
ŠJade University

 

Kaiser -Wilhelm-Bridge
ŠJ
ens Werner

 

Kaiser -Wilhelm-Bridge
ŠJ
ens Werner

 

            

Kaiser -Wilhelm-Bridge
ŠJ
ens Werner

 

 

 

 

 

 

 

 

 

In today’s world, there is an ever-increasing need for intelligent systems, systems that can learn and adapt to a changing environment. In order to achieve this, intelligent systems usually incorporate or are based on models or simulations of the environment. The intelligent system track will provide a forum for the presentation and discussion of recent research and applications of simulations for intelligent systems. It aims to encourage and to facilitate interdisciplinary communication amongst university researcher and industry professionals applying techniques such as evolutionary and genetic algorithms, fuzzy logic and artificial neural network models.

Topics of interest include but are not limited to:

  • computational intelligence and cognitive systems

  • fuzzy systems

  • evolutionary and genetic algorithms

  • artificial neural networks

  • intelligent machine learning systems

  • rule-based systems

  • case-based reasoning

  • methodologies, models and algorithms, tools

Papers dealing with the applications of computational intelligence in a widest sense are welcome but are not limited to:

  • Classification

  • data analysis

  • decision support

  • forecasting

  • knowledge acquisition

  • planning

  • pre-processing of data

  • process control

  • robotics

  • speech and image recognition

  • web intelligence

  • hybrid systems which combine different techniques

  • simulation tools for research, education, development

  • neural networks models of systems

  • optimization

  • interdisciplinary applications using soft computing methods.

 

 

 


 


 

 

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