This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Eachchapter in this book is written by topic experts on AI, nature-inspired algorithmsand data science. Chapters are structured to provide an introduction to the topic, the computational methodology required for experimentation and analysis, and a discussion of results results The basic concepts relevant to these topics are explained, includingevolutionary computing (EC), artificial neural networks (ANN), swarmintelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimizationalgorithms for data analysis. The contents include algorithms that can be used in systems designedfor plant science research, environmental analysis, computer vision andhealthcare. There are a variety of use cases highlighted in the book that demonstrate how computer algorithms can be used to simulate and understand natural phenomena, such as moving object detection, COVID-19 detection, genetic diversity, physiology and much more. Additionally, the contributors provide useful tips specific to some algorithsm such as load balancing techniques and fuzzy PID controls. The goal of the book is to equip the reader – students and data analysts– with the information needed to apply basic AI algorithms to resolve actualproblems encountered in a professional environment.
Rijwan Khan & Pawan Kumar Sharma
Artificial Intelligence and Natural Algorithms [EPUB ebook]
Artificial Intelligence and Natural Algorithms [EPUB ebook]
Mua cuốn sách điện tử này và nhận thêm 1 cuốn MIỄN PHÍ!
Ngôn ngữ Anh ● định dạng EPUB ● Trang 383 ● ISBN 9789815036091 ● Kích thước tập tin 5.4 MB ● Biên tập viên Rijwan Khan & Pawan Kumar Sharma ● Nhà xuất bản Bentham Science Publishers ● Thành phố San Antonio ● Quốc gia US ● Được phát hành 2003 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 8656682 ● Sao chép bảo vệ Adobe DRM
Yêu cầu trình đọc ebook có khả năng DRM