Название: Nature-Inspired Algorithms ApplicationsАвтор: S. Balamurugan, Anupriya Jain
Издательство: Wiley-Scrivener
Год: 2022
Страниц: 384
Язык: английский
Формат: pdf (true), epub (true)
Размер: 21.7 MB, 10.47 MB
The purpose of designing this book is to portray certain practical applications of nature-inspired computation in machine learning for the better understanding of the world around us. The focus is to portray and present recent developments in the areas where nature- inspired algorithms are specifically designed and applied to solve complex real-world problems in data analytics and pattern recognition, by means of domain-specific solutions. Various nature-inspired algorithms and their multidisciplinary applications (in mechanical engineering, electrical engineering, machine learning, image processing, data mining and wireless network domains are detailed, which will make this book a handy reference guide.
Table of Contents:
Preface
1 Introduction to Nature-Inspired Computing
2 Applications of Hybridized Algorithms and Novel Algorithms in the Field of Machine Learning
3 Efficiency of Finding Best Solutions Through Ant Colony Optimization (ACO) Technique
4 A Hybrid Bat-Genetic Algorithm–Based Novel Optimal Wavelet Filter for Compression of Image Data
5 A Swarm Robot for Harvesting a Paddy Field
6 Firefly Algorithm
7 The Comprehensive Review for Biobased FPA Algorithm
8 Nature-Inspired Computation in Data Mining
9 Optimization Techniques for Removing Noise in Digital Medical Images
10 Performance Analysis of Nature-Inspired Algorithms in Breast Cancer Diagnosis
11 Applications of Cuckoo Search Algorithm for Optimization Problems
12 Mapping of Real-World Problems to Nature-Inspired Algorithm Using Goal-Based Classification and TRIZ
Index
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