Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)

  • Vadlamani Ravi
  • Bijaya Ketan Panigrahi
  • Swagatam Das
  • Ponnuthurai Nagaratnam Suganthan

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 415)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Radhakrishnan Anuradha, Nallaiah Rajkumar, Venkatachalam Sowmyaa
    Pages 15-29
  3. K. Narsimlu, T. V. Rajini Kanth, Devendra Rao Guntupalli
    Pages 31-42
  4. K. Srinivasa Raju, D. Nagesh Kumar
    Pages 53-61
  5. Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi
    Pages 89-107
  6. Raed Basbous, Benedek Nagy, Tibor Tajti
    Pages 119-138
  7. K. Hima Bindu, C. Raghavendra Rao
    Pages 139-149
  8. Praveen Kumar Vesapogu, Changchuan Yin, Bapi Raju Surampudi
    Pages 151-161
  9. A Brahmananda Reddy, A. Govardhan
    Pages 163-173
  10. Ashok Kumar, Kishan G. Mehrotra, Chilukuri K. Mohan
    Pages 175-184
  11. Karthik H. Shankar, Marc W. Howard
    Pages 185-194
  12. V. Hema Madhuri, T. Sobha Rani
    Pages 209-226
  13. Sucheta Moharir, Narhari Patil
    Pages 227-240
  14. Purushottam S. Dange, Ravindra K. Lad
    Pages 241-253

About these proceedings

Introduction

This proceedings bring together contributions from researchers from academia and industry to report the latest cutting edge research made in the areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computing in the paradigm of Soft Computing. The FANCCO 2015 conference explored new application areas, design novel hybrid algorithms for solving different real world application problems. After a rigorous review of the 68 submissions from all over the world, the referees panel  selected 27 papers to be presented at the Conference. The accepted papers have a good, balanced mix of theory and applications. The techniques ranged from fuzzy neural networks, decision trees, spiking neural networks, self organizing feature map, support vector regression, adaptive neuro fuzzy inference system, extreme learning machine, fuzzy multi criteria decision making, machine learning, web usage mining, Takagi-Sugeno Inference system, extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclustering etc. The applications ranged from social network analysis, twitter sentiment analysis, cross domain sentiment analysis, information security, education sector, e-learning, information management, climate studies, rainfall prediction, brain studies, bioinformatics, structural engineering, sewage water quality, movement of aerial vehicles,  etc.

 

Keywords

Intelligent Systems Fuzzy Computing Neurocomputing FANCCO 2015 Hybrid Neuro-Fuzzy Computing

Editors and affiliations

  • Vadlamani Ravi
    • 1
  • Bijaya Ketan Panigrahi
    • 2
  • Swagatam Das
    • 3
  • Ponnuthurai Nagaratnam Suganthan
    • 4
  1. 1.IDRBTCenter of Excellence in AnalyticsHyderabadIndia
  2. 2.Dept of Electrical EngineeringIIT DelhiDelhiIndia
  3. 3.Indian Statistical InstituteElectronics and Communication Sci UnitKolkataIndia
  4. 4.Div of Ctrl & InstrumentationNanyan Technological UnivSingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-27212-2
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-27211-5
  • Online ISBN 978-3-319-27212-2
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book