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Hybrid Computational Intelligence: Research and Applications

Editat de Siddhartha Bhattacharyya, Václav Snášel, Indrajit Pan, Debashis De
en Limba Engleză Hardback – 30 sep 2019
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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Specificații

ISBN-13: 9781138320253
ISBN-10: 1138320250
Pagini: 240
Ilustrații: 47 Tables, black and white; 81 Illustrations, black and white
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.49 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States

Public țintă

Academic

Cuprins

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.

Notă biografică

Siddhartha Bhattacharyya, Václav Snášel, Indrajit Pan, Debashis De

Descriere

This book is a synergistic integration of hybrid computational intelligent techniques applied to engineering problems. It provides an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with case studies with focus on quantum inspired hybrid intelligence to develop intelligent solutions for the future.