Soft Computing Applications

1. Front Matter

   Pages i-xxxi

   PDF

2. Machine Learning and Applications

   1. Front Matter

      Pages 1-1

      PDF

   2. Model Evaluation as Approach to Predict a Diagnosis

      • Adriana Mihaela Coroiu

      Pages 3-16

   3. The Basics of Implementing Intelligent Social Networks

      • Stefan Cosmin Popa, Marius Constantin Popescu, Antoanela Naaji

      Pages 17-27

   4. The Generation of Tests of Knowledge Check Using Genetic Algorithms

      • Doru Anastasiu Popescu, Nicolae Bold, Alexandru Ion Popescu

      Pages 28-35

   5. Matrix-Valued Bidirectional Associative Memories

      • Călin-Adrian Popa

      Pages 36-44

   6. Enhanced Gradient Descent Algorithms for Quaternion-Valued Neural Networks

      • Călin-Adrian Popa

      Pages 45-53

   7. A Reinforcement Learning Based Approach to Multiple Sequence Alignment

      • Ioan-Gabriel Mircea, Iuliana Bocicor, Gabriela Czibula

      Pages 54-70

   8. Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology

      • Vlad-Sebastian Ionescu, Gabriela Czibula, Mihai Teletin

      Pages 71-86

   9. A Fuzzy Approach of Sensitivity for Multiple Colonies on Ant Colony Optimization

      • Camelia-M. Pintea, Oliviu Matei, Rabie A. Ramadan, Mario Pavone, Muaz Niazi, Ahmad Taher Azar

      Pages 87-95

   10. Nature Inspired Partitioning Clustering Algorithms: A Review and Analysis

       • Behzad Saemi, Ali Asghar Rahmani Hosseinabadi, Maryam Kardgar, Valentina Emilia Balas, Hamed Ebadi

       Pages 96-116

   11. Parametric Prediction Model Using Expert System and Fuzzy Harmonic System

       • W. Bel, D. López De Luise, A. Asmis, D. Mansilla

       Pages 117-139

   12. Predicting Ozone Layer Concentration Using Multivariate Adaptive Regression Splines, Random Forest and Classification and Regression Tree

       • Sanjiban Sekhar Roy, Chitransh Pratyush, Cornel Barna

       Pages 140-152

   13. Prediction of Customer Satisfaction Using Naive Bayes, MultiClass Classifier, K-Star and IBK

       • Sanjiban Sekhar Roy, Deeksha Kaul, Reetika Roy, Cornel Barna, Suhasini Mehta, Anusha Misra

       Pages 153-161

   14. Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network

       • Sanjiban Sekhar Roy, Abhishek Sinha, Reetika Roy, Cornel Barna, Pijush Samui

       Pages 162-174

3. Business Process Management

   1. Front Matter

      Pages 175-175

      PDF

   2. Collaborative Business Process Solution Considering an Ontological Dimension of Process Models

      • Maria Laura Sebu, Horia Ciocarlie

      Pages 177-193

   3. Logistics Scenario for Wind Turbine Assembly Based on ERP

      • Gabriela Prostean, Cristian Vasar, Andra Badea

      Pages 194-200

   4. Relieving Supply Chain Through Collaboration for Wind Turbine Assembly Based on AHP and DBR

      • Andra Badea, Gabriela Prostean, Cristian Vasar

      Pages 201-217

   5. New Learning and New Teaching in Higher Education. Formal vs. Informal Learning

      • Camelia Ciuclea, Gabriela Prostean, Diana Andone

      Pages 218-224

These two volumes constitute the Proceedings of the 7th International Workshop on Soft Computing Applications (SOFA 2016), held on 24–26 August 2016 in Arad, Romania. This edition was organized by Aurel Vlaicu University of Arad, Romania, University of Belgrade, Serbia, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics (SRAIT) - Arad Section, General Association of Engineers in Romania - Arad Section, and BTM Resources Arad.

The soft computing concept was introduced by Lotfi Zadeh in 1991 and serves to highli

ght the emergence of computing methodologies in which the accent is on exploiting the tolerance for imprecision and uncertainty to achieve tractability, robustness and lower costs. Soft computing facilitates the combined use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing, leading to the concept of hybrid intelligent systems. The rapid emergence of new tools and applications calls for a synergy of scientific and technological disciplines in order to reveal the great potential of soft computing in all domains.

The conference papers included in these proceedings, published post-conference, were grouped into the following areas of research:

•             Methods and Applications in Electrical Engineering

•             Knowledge-Based Technologies for Web Applications, Cloud Computing, Security                       Algorithms and Computer Networks

•             Biomedical Applications

•             Image, Text and Signal Processing

•             Machine Learning and Applications

•             Business Process Management

•             Fuzzy Applications, Theory and Fuzzy Control

•             Computational Intelligence in Education

•     

        Soft Computing & Fuzzy Logic in Biometrics (SCFLB)

•             Soft Computing Algorithms Applied in Economy, Industry and Communication                           Technology

•             Modelling and Applications in Textiles

The book helps to disseminate advances in selected active research directions in the field of soft computing, along with current issues and applications of related topics. As such, it provides valuable information for professors, researchers and graduate students in the area of soft computing techniques and applications.

• Intelligent Systems
• Soft Computing
• Soft Computing Applications
• SOFA 2016
• Fuzzy Logic

• Department of Automatics and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

  Valentina Emilia Balas

• University of Canberra, Canberra, Australia

  Lakhmi C. Jain

• Universitatea Aurel Vlaicu Din Arad, Arad, Romania

  Marius Mircea Balas

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