Description
Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient.
Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems.
Author's/Editor's Biography
Hiral Patel (Ed.)
Hiral Ashil Patel, is an Assistant Professor in Department of Computer Science, Ganpat University, Gujarat, India. She did her Ph.D. from Ganpat University. She completed her Ph.D. under the Faculty of Computer Applications. Her research title is “Prediction Model for Financial Products”. Her research area of interest is in Machine Learning. She is Gold Medalist in Master of Computer Science and B.C.A. from Ganpat University. She has 10 years of experience in academic. Recently, she has received “Ganpat University Presidential Award of Staff Excellence" under Research - Early Career Researcher category for the year 2019. She is awarded as “Young Scientist” in May 2017 by International Science Community Association in 3rd International Young Scientist Congress. She is recipient of “Best Conceptual Paper” in GFJMR 2012. She has published research papers in well known and globally indexed journals. She has been working with Web Application Development, Mobile Application Development, Database Management System, Data Mining and Machine Learning.
A.V. Senthil Kumar (Ed.)
Dr. A.V.Senthil Kumar obtained his BSc Degree (Physics) in 1987, P.G.Diploma in Computer Applications in 1988, MCA in 1991 from Bharathiar University. He obtained his Master of Philosophy in Computer Science from Bharathidasan University, Trichy during 2005 and his Ph.D in Computer Science from Vinayaka Missions University during 2009. To his credit he had industrial experience for five years as System Analyst in a Garment Export Company. Later he took up teaching and attached to CMS College of Science and Commerce, Coimbatore. He has to his credit 3 Book Chapters, 8 papers in International Journals, 2 papers in National Journals, 13 papers in International Conferences, 4 papers in National Conferences, and edited a book in Data Mining (IGI Global, USA) and a book in Mobile Computing (IGI Global, USA). He is an Editor-in-Chief for International Journal titled “International Journal of Data Mining and Emerging Technologies”, “International Journal of Image Processing and Applications” and International Journal of Advances in Knowledge Engineering & Computer Science . Key Member for India, Machine Intelligence Research Lab (MIR Labs).
He is an Editorial Board Member and Reviewer for various International Journals. He is also a Committee member for various International Conferences. He is a Life member of International Association of Engineers (IAENG), Systems Society of India (SSI), member of The Indian Science Congress Association, member of Internet Society (ISOC), International Association of Computer Science and Information Technology (IACSIT), Indian Association for Research in Computing Science (IARCS), and committee member for various International Conferences. He has got many awards from National and International Societies. Also a freelance writer for Tamil Computer (a fortnightly) and PC Friend (monthly).