Hybrid Computational Intelligence (eBook, PDF)

Research and Applications
Redaktion: Bhattacharyya, Siddhartha; De, Debashis; Pan, Indrajit; Snásel, Václav

• Format: PDF

Produktbeschreibung

Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields. The primary objective of this book is to provide an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with supportive case studies. In addition, it aims to provide a gallery of engineering applications where this computing paradigm can be effectively use. Finally, it focuses on the recent quantum inspired hybrid intelligence to develop intelligent solutions for the future. The book also incorporates video demonstrations of each application for better understanding of the subject matter.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 240
• Erscheinungstermin: 30. September 2019
• Englisch
• ISBN-13: 9780429842672
• Artikelnr.: 57831130

Autorenporträt

Siddhartha Bhattacharyya, Václav Snáel, Indrajit Pan, Debashis De

Inhaltsangabe

1 Nature-Inspired Algorithms: A Comprehensive Review. Essam H. Houssein,
Mina Younan, and Aboul Ella Hassanie. 2 Hybrid Cartesian Genetic
Programming Algorithms: A Review. Johnathan Melo Neto, Heder S. Bernardino,
and Helio J.C. Barbosa. 3 Tuberculosis Detection from Conventional Sputum
Smear Microscopic Images Using Machine Learning Techniques. Rani Oomman
Panicker, Biju Soman, and M.K. Sabu. 4 Privacy towards GIS Based
Intelligent Tourism Recommender System in Big Data Analytics. Abhaya Kumar
Sahoo, Chittaranjan Pradhan, and Siddhartha Bhattacharyya. 5 Application of
Artificial Neural Network: A Case Study of Biomedical Alloy.Amit Aherwar
and Amar Patnaik. 6 Laws Energy Measure Based on Local Patterns for Texture
Classification. Sonali Dash and Manas R. Senapati. 7 Analysis of BSE Sensex
Using Statistical and Computational Tools. Soumya Chatterjee and Indranil
Mukherjee. 8 Automatic Sheep Age Estimation Based on Active Contours
without Edges. Aya Abdelhady, Aboul Ella Hassanien, and Aly Fahmy. 9
Diversity Matrix Based Performance Improvement for Ensemble Learning
Approach.Rajdeep Chatterjee, Siddhartha Chatterjee, Ankita Datta, and
Debarshi Kumar Sanyal.