Hybrid Computational Intelligence
Research and Applications
1st Edition
Published on 30. September 2019
240 pages
978-0-429-84267-2 (ISBN)
Description
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.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
47 Tables, black and white; 81 Illustrations, black and white
ISBN-13
978-0-429-84267-2 (9780429842672)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Siddhartha Bhattacharyya | Vaclav Snasel | Indrajit Pan
Hybrid Computational Intelligence
Research and Applications
Book
09/2019
1st Edition
CRC Press
€251.90
Shipment within 10-20 days
Persons
Siddhartha Bhattacharyya, Vaclav Snasel, Indrajit Pan, Debashis De
Content
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.
