Hybrid computational intelligence : research and applications /
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 st...
| Main Authors: | , , , |
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| Format: | eBook |
| Language: | English |
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Boca Raton :
CRC Press, Taylor & Francis Group,
[2020]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1 Nature-Inspired Algorithms: A Comprehensive Review 1 Essam H. Houssein, Mina Younan, and Aboul Ella Hassanien 2 Hybrid Cartesian Genetic Programming Algorithms: A Review 27 Johnathan Melo Neto, Heder S. Bernardino, and Helio J.C. Barbosa 3 Tuberculosis Detection from Conventional Sputum Smear Microscopic Images Using Machine Learning Techniques 63 Rani Oomman Panicker, Biju Soman, and M.K. Sabu 4 Privacy towards GIS Based Intelligent Tourism Recommender System in Big Data Analytics 81 Abhaya Kumar Sahoo, Chittaranjan Pradhan, and Siddhartha Bhattacharyya 5 Application of Artificial Neural Network: A Case Study of Biomedical Alloy 101 Amit Aherwar and Amar Patnaik 6 Laws Energy Measure Based on Local Patterns for Texture Classification 131 Sonali Dash and Manas R. Senapati 7 Analysis of BSE Sensex Using Statistical and Computational Tools 153 Soumya Chatterjee and Indranil Mukherjee 8 Automatic Sheep Age Estimation Based on Active Contours without Edges 177 Aya Abdelhady, Aboul Ella Hassanien, and Aly Fahmy 9 Diversity Matrix Based Performance Improvement for Ensemble Learning Approach 195 Rajdeep Chatterjee, Siddhartha Chatterjee, Ankita Datta, and Debarshi Kumar Sanyal