Author: Vasant, Pandian
Publisher: IGI Global
Published: 2014-11-30
Total Pages: 873
ISBN-13: 1466672595
DOWNLOAD EBOOK →For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.
Author: Olivas, Emilio Soria
Publisher: IGI Global
Published: 2009-08-31
Total Pages: 852
ISBN-13: 1605667676
DOWNLOAD EBOOK →"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.
Author: Pandian Vasant
Publisher: Information Science Reference
Published: 2015-01-20
Total Pages: 504
ISBN-13: 9781668426968
DOWNLOAD EBOOK →Author: Pandian Vasant
Publisher: Information Science Reference
Published: 2015-01-20
Total Pages: 528
ISBN-13: 9781668426951
DOWNLOAD EBOOK →Author: Cheng, Shi
Publisher: IGI Global
Published: 2020-04-24
Total Pages: 482
ISBN-13: 1799832244
DOWNLOAD EBOOK →The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world. TheHandbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.
Author: Woodrow Barfield
Publisher: Edward Elgar Publishing
Published: 2018-12-28
Total Pages: 736
ISBN-13: 1786439050
DOWNLOAD EBOOK →The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.
Author: Rani, Geeta
Publisher: IGI Global
Published: 2020-10-16
Total Pages: 586
ISBN-13: 1799827437
DOWNLOAD EBOOK →By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
Author: José Ramón Saura
Publisher:
Published: 2022
Total Pages:
ISBN-13: 9781799896104
DOWNLOAD EBOOK →"This book identifies the main uses that governments make of artificial intelligence and outlines define citizens' concerns about their privacy, covering topics that are essential to understanding how governments should use artificial intelligence in their practices and processes"--
Author: Tan, Ying
Publisher: IGI Global
Published: 2019-12-27
Total Pages: 471
ISBN-13: 1799816605
DOWNLOAD EBOOK →In recent years, swarm intelligence has become a popular computational approach among researchers working on optimization problems throughout the globe. Several algorithms inside swarm intelligence have been implemented due to their application to real-world issues and other advantages. A specific procedure, Fireworks Algorithm, is an emerging method that studies the explosion process of fireworks within local areas. Applications of this developing program are undiscovered, and research is necessary for scientists to fully understand the workings of this innovative system. The Handbook of Research on Fireworks Algorithms and Swarm Intelligence is a pivotal reference source that provides vital research on theory analysis, improvements, and applications of fireworks algorithm. While highlighting topics such as convergence rate, parameter applications, and global optimization analysis, this publication explores up-to-date progress on the specific techniques of this algorithm. This book is ideally designed for researchers, data scientists, mathematicians, engineers, software developers, postgraduates, and academicians seeking coverage on this evolutionary computation method.